create a website

A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation. (2024). Qu, Xiaobo ; Xu, Zhigang ; Liu, Yang ; Zhang, Zhe.
In: Renewable Energy.
RePEc:eee:renene:v:234:y:2024:i:c:s0960148124013119.

Full description at Econpapers || Download paper

Cited: 5

Citations received by this document

Cites: 144

References cited by this document

Cocites: 27

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. How Is Transportation Sector Low-Carbon (TSLC) Research Developing After the Paris Agreement (PA)? A Decade Review. (2025). Han, Jinsong ; Zhao, Xuanwei.
    In: Sustainability.
    RePEc:gam:jsusta:v:17:y:2025:i:5:p:2261-:d:1606255.

    Full description at Econpapers || Download paper

  2. Chattering-Free PID-Nested Nonsingular Terminal Sliding Mode Controller Design for Electrical Servo Drives. (2025). Trieu, Nguyen Minh ; No, Nguyen Tan ; Vu, Truong Nguyen ; Thinh, Nguyen Truong.
    In: Mathematics.
    RePEc:gam:jmathe:v:13:y:2025:i:7:p:1197-:d:1628506.

    Full description at Econpapers || Download paper

  3. Analytical Diagnostic and Control System of Energy and Mechanical Efficiency of Electric Drives. (2025). Korolev, Nikolay.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:9:p:2266-:d:1645644.

    Full description at Econpapers || Download paper

  4. Impact of Weather Conditions on Energy Consumption Modeling for Electric Vehicles. (2025). Mdziel, Maksymilian.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:8:p:1994-:d:1633650.

    Full description at Econpapers || Download paper

  5. Location and Size Planning of Charging Parking Lots Based on EV Charging Demand Prediction and Fuzzy Bi-Objective Optimization. (2024). Tan, XU ; Chen, Jianming ; Gao, Minghao ; Bao, Qiong.
    In: Mathematics.
    RePEc:gam:jmathe:v:12:y:2024:i:19:p:3143-:d:1493763.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Abdelaty, H. ; Al-Obaidi, A. ; Mohamed, M. ; Farag, H.E. Machine learning prediction models for battery-electric bus energy consumption in transit. 2021 Transport. Res. D. 96 -
    Paper not yet in RePEc: Add citation now
  2. Abdelaty, H. ; Mohamed, M. A framework for BEB energy prediction using low-resolution open-source data-driven model. 2022 Transport. Res. Transport Environ.. 103 -
    Paper not yet in RePEc: Add citation now
  3. Achariyaviriya, W. ; Wongsapai, W. ; Janpoom, K. ; Katongtung, T. ; Mona, Y. ; Tippayawong, N. Estimating energy consumption of battery electric vehicles using vehicle sensor data and machine learning approaches. 2023 Energies. 16 6351-

  4. Al-Wreikat, Y. ; Serrano, C. ; Sodré, J.R. Driving behaviour and trip condition effects on the energy consumption of an electric vehicle under real-world driving. 2021 Appl. Energy. 297 -

  5. Amiri, S.S. ; Mottahedi, S. ; Lee, E.R. ; Hoque, S. Peeking inside the black-box: explainable machine learning applied to household transportation energy consumption. 2021 Comput. Environ. Urban Syst.. 88 -
    Paper not yet in RePEc: Add citation now
  6. Amiri, S.S. ; Mueller, M. ; Hoque, S. Investigating the application of a transportation energy consumption prediction model for urban planning scenarios in machine learning and Shapley additive explanations method. 2022 Journal of Sustainability Research. 4 -
    Paper not yet in RePEc: Add citation now
  7. Andreotti, E. ; Selpi, ; Boyraz, P. Potential impact of autonomous vehicles in mixed traffic from simulation using real traffic flow. 2023 Journal of Intelligent and Connected Vehicles. 6 1-15
    Paper not yet in RePEc: Add citation now
  8. Anttila, J. ; Tota, S.S. ; Todorov, Y. Electric city bus performance evaluation by chassis dynamometer measurements. 2020 En : 2020 IEEE Vehicle Power and Propulsion Conference (VPPC). :
    Paper not yet in RePEc: Add citation now
  9. Appleton, S. ; Fotouhi, A. A model-based battery charging optimization framework for proper trade-offs between time and degradation. 2023 Automotive Innovation. 6 204-219
    Paper not yet in RePEc: Add citation now
  10. Basso, R. ; Kulcsàr, B. ; Egardt, B.o. ; Lindroth, P. ; Sanchez-Diaz, I. Energy consumption estimation integrated into the electric vehicle routing problem. 2019 Transport. Res. Transport Environ.. 69 141-167
    Paper not yet in RePEc: Add citation now
  11. Basso, R. ; Kulcsár, B. ; Sanchez-Diaz, I. Electric vehicle routing problem with machine learning for energy prediction. 2021 Transp. Res. Part B Methodol.. 145 24-55

  12. Bhandary, A. ; Dobariya, V. ; Yenduri, G. ; Jhaveri, R.H. ; Gochhait, S. ; Benedetto, F. Enhancing household energy consumption predictions through explainable AI frameworks. 2024 IEEE Access. -
    Paper not yet in RePEc: Add citation now
  13. Boeing, G. ; Pilgram, C. ; Lu, Y. Urban street network design and transport-related greenhouse gas emissions around the world. 2024 Transport. Res. D. 127 -

  14. Bruglieri, M. ; Paolucci, M. ; Pisacane, O. A matheuristic for the electric vehicle routing problem with time windows and a realistic energy consumption model. 2023 Comput. Oper. Res.. 157 -
    Paper not yet in RePEc: Add citation now
  15. Cao, L. ; Luo, Y. ; Wang, Y. ; Chen, J. ; He, Y. Vehicle sideslip trajectory prediction based on time-series analysis and multi-physical model fusion. 2023 Journal of Intelligent and Connected Vehicles. 1-12
    Paper not yet in RePEc: Add citation now
  16. Chen, Y. ; Zhang, Y. ; Sun, R. Data-driven estimation of energy consumption for electric bus under real-world driving conditions. 2021 Transport. Res. D. 98 -
    Paper not yet in RePEc: Add citation now
  17. Cheng, Q. ; Lin, Y. ; Zhou, X.S. ; Liu, Z. Analytical formulation for explaining the variations in traffic states: a fundamental diagram modeling perspective with stochastic parameters. 2024 Eur. J. Oper. Res.. 312 182-197

  18. Cheng, Q. ; Liu, Z. ; Lu, J. ; List, G. ; Liu, P. ; Zhou, X.S. Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors. 2024 Transport. Res. Part B. 184 -

  19. Chung, Y.W. ; Khaki, B. ; Li, T. ; Chu, C. ; Gadh, R. Ensemble machine learning-based algorithm for electric vehicle user behavior prediction. 2019 Appl. Energy. 254 -

  20. Danesh, T. ; Ouaret, R. ; Floquet, P. ; Negny, S. Interpretability of neural networks predictions using Accumulated Local Effects as a model-agnostic method. 2022 En : . Elsevier:
    Paper not yet in RePEc: Add citation now
  21. De Cauwer, C. ; Verbeke, W. ; Coosemans, T. ; Faid, S. ; Van Mierlo, J. A data-driven method for energy consumption prediction and energy-efficient routing of electric vehicles in real-world conditions. 2017 Energies. 10 608-

  22. Donkers, A. ; Yang, D. ; Viktorović, M. Influence of driving style, infrastructure, weather and traffic on electric vehicle performance. 2020 Transport. Res. D. 88 -
    Paper not yet in RePEc: Add citation now
  23. El-Taweel, N.A. ; Zidan, A. ; Farag, H.E.Z. Novel electric bus energy consumption model based on probabilistic synthetic speed profile integrated with hvac. 2020 IEEE Trans. Intell. Transport. Syst.. 22 1517-1531
    Paper not yet in RePEc: Add citation now
  24. Fetene, G.M. ; Kaplan, S. ; Mabit, S.L. ; Jensen, A.F. ; Prato, C.G. Harnessing big data for estimating the energy consumption and driving range of electric vehicles. 2017 Transport. Res. D. 54 1-11
    Paper not yet in RePEc: Add citation now
  25. Fiori, C. ; Ahn, K. ; Rakha, H.A. Power-based electric vehicle energy consumption model: model development and validation. 2016 Appl. Energy. 168 257-268

  26. Fiori, C. ; Arcidiacono, V. ; Fontaras, G. ; Makridis, M. ; Mattas, K. ; Marzano, V. The effect of electrified mobility on the relationship between traffic conditions and energy consumption. 2019 Transport. Res. D. 67 275-290
    Paper not yet in RePEc: Add citation now
  27. Fiori, C. ; Montanino, M. ; Nielsen, S. ; Seredynski, M. ; Viti, F. Microscopic energy consumption modelling of electric buses: model development, calibration, and validation. 2021 Transport. Res. D. 98 -
    Paper not yet in RePEc: Add citation now
  28. Flaris, K. ; Gkritza, K. ; Singleton, P.A. ; Graul, A.R. ; Song, Z. Riders' perceptions towards transit bus electrification: evidence from Salt Lake City, Utah. 2023 Transport. Res. D. 117 -
    Paper not yet in RePEc: Add citation now
  29. Gallet, M. ; Massier, T. ; Hamacher, T. Estimation of the energy demand of electric buses based on real-world data for large-scale public transport networks. 2018 Appl. Energy. 230 344-356

  30. Galvin, R. Energy consumption effects of speed and acceleration in electric vehicles: laboratory case studies and implications for drivers and policymakers. 2017 Transport. Res. D. 53 234-248
    Paper not yet in RePEc: Add citation now
  31. Gao, Z. ; Lin, Z. ; LaClair, T.J. ; Liu, C. ; Li, J.M. ; Birky, A.K. Battery capacity and recharging needs for electric buses in city transit service. 2017 Energy. 122 588-600

  32. Genikomsakis, K.N. ; Mitrentsis, G. A computationally efficient simulation model for estimating energy consumption of electric vehicles in the context of route planning applications. 2017 Transportation Research Part D: Transport and Environment. 50 98-118
    Paper not yet in RePEc: Add citation now
  33. Gong, L. ; Cao, W. ; Liu, K. ; Yu, Y. ; Zhao, J. Demand responsive charging strategy of electric vehicles to mitigate the volatility of renewable energy sources. 2020 Renew. Energy. 156 665-676

  34. Grubwinkler, S. ; Brunner, T. ; Lienkamp, M. Range prediction for EVs via crowd-sourcing. 2014 En : 2014 IEEE Vehicle Power and Propulsion Conference (VPPC). :
    Paper not yet in RePEc: Add citation now
  35. Hao, X. ; Wang, H. ; Lin, Z. ; Ouyang, M. Seasonal effects on electric vehicle energy consumption and driving range: a case study on personal, taxi, and ridesharing vehicles. 2020 J. Clean. Prod.. 249 -
    Paper not yet in RePEc: Add citation now
  36. Hardman, S. ; Jenn, A. ; Tal, G. ; Axsen, J. ; Beard, G. ; Daina, N. A review of consumer preferences of and interactions with electric vehicle charging infrastructure. 2018 Transport. Res. D. 62 508-523
    Paper not yet in RePEc: Add citation now
  37. He, J. ; Yan, N. ; Zhang, J. ; Wang, T. ; Chen, Y.Y. ; Tang, T.Q. Battery electricity bus charging schedule considering bus journey's energy consumption estimation. 2022 Transport. Res. D. 115 -
    Paper not yet in RePEc: Add citation now
  38. He, X. ; Lv, C. Towards safe autonomous driving: decision making with observation-robust reinforcement learning. 2023 Automotive Innovation. 6 509-520
    Paper not yet in RePEc: Add citation now
  39. Hjelkrem, O.A. ; Lervåg, K.Y. ; Babri, S. ; Lu, C. ; Södersten, C.-J. A battery electric bus energy consumption model for strategic purposes: validation of a proposed model structure with data from bus fleets in China and Norway. 2021 Transport. Res. Transport Environ.. 94 -
    Paper not yet in RePEc: Add citation now
  40. Hjelkrem, O.A. ; Lervåg, K.Y. ; Babri, S. ; Lu, C. ; Södersten, C.J. A battery electric bus energy consumption model for strategic purposes: validation of a proposed model structure with data from bus fleets in China and Norway. 2021 Transport. Res. Transport Environ.. 94 -
    Paper not yet in RePEc: Add citation now
  41. Hossain Ahmed, S. ; Kang, X. ; Bade Shrestha, S.O. Effects of temperature on internal resistances of lithium-ion batteries. 2015 J. Energy Resour. Technol.. 137 -
    Paper not yet in RePEc: Add citation now
  42. Hsu, Y.T. ; Yan, S. ; Huang, P. The depot and charging facility location problem for electrifying urban bus services. 2021 Transport. Res. D. 100 -
    Paper not yet in RePEc: Add citation now
  43. Hu, J. ; Yang, G. ; He, C. ; Zhu, X. Data-driven energy consumption prediction of new energy buses. 2022 Mechanical Science and Technology for Aerospace Engineering. 4 318-324
    Paper not yet in RePEc: Add citation now
  44. International Energy Agency (IEA) Tracking Transport 2020. 2020 IEA: Paris
    Paper not yet in RePEc: Add citation now
  45. International Energy Agency (IEA) Trends in Electric Heavy-Duty Vehicles. 2022 IEA: Paris
    Paper not yet in RePEc: Add citation now
  46. Jeong, J. ; Ghaddar, B. ; Zufferey, N. ; Nathwani, J. Adaptive robust electric vehicle routing under energy consumption uncertainty. 2024 Transport. Res. C Emerg. Technol.. 160 -
    Paper not yet in RePEc: Add citation now
  47. Ji, J. ; Bie, Y. ; Zeng, Z. ; Wang, L. Trip energy consumption estimation for electric buses. 2022 Commun. Transp. Res.. 2 -
    Paper not yet in RePEc: Add citation now
  48. Jiang, J. ; Yu, Y. ; MinH, Cao Q. ; Sun, W. ; Zhang, Z. Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression. 2023 Energy. 263 -

  49. Jiménez, D. ; Hernández, S. ; Fraile-Ardanuy, J. ; Serrano, J. ; Fernández, R. ; Alvarez, F. Modelling the effect of driving events on electrical vehicle energy consumption using inertial sensors in smartphones. 2018 Energies. 11 412-

  50. Jin, M. ; Tang, H. ; Zhang, C. ; Yu, Q. ; Liu, C. ; Zhu, S. ; Du, M. Time series forecasting with llms: understanding and enhancing model capabilities. 2024 arXiv preprint arXiv:2402.10835. -
    Paper not yet in RePEc: Add citation now
  51. Jin, M. ; Wang, S. ; Ma, L. ; Chu, Z. ; Zhang, J.Y. ; Shi, X. ; Wen, Q. Time-llm: time series forecasting by reprogramming large language models. 2023 arXiv preprint arXiv:2310.01728. -
    Paper not yet in RePEc: Add citation now
  52. Karthik, S. ; Rohith, G. ; Devika, K.B. ; Subramanian, S.C. A deep learning based encoder-decoder model for speed planning of autonomous electric truck platoons. 2024 Heliyon. 10 -
    Paper not yet in RePEc: Add citation now
  53. Kim, Y. ; Kim, S. Forecasting charging demand of electric vehicles using time-series models. 2021 Energies. 14 1487-

  54. Kim, Y.J. ; Do Chung, B. Energy consumption optimization for the electric vehicle routing problem with state-of-charge-dependent discharging rates. 2023 J. Clean. Prod.. 385 -
    Paper not yet in RePEc: Add citation now
  55. Lee, D. ; Mulrow, J. ; Haboucha, C.J. ; Derrible, S. ; Shiftan, Y. Attitudes on autonomous vehicle adoption using interpretable gradient boosting machine. 2019 Transport. Res. Rec.. 2673 865-878
    Paper not yet in RePEc: Add citation now
  56. Li, H. ; Son, D. ; Jeong, B. Electric vehicle charging scheduling with mobile charging stations. 2024 J. Clean. Prod.. 434 -
    Paper not yet in RePEc: Add citation now
  57. Li, J. ; Li, Z. ; Zhuang, W. ; He, Z. ; Fu, J. Data-driven energy consumption prediction of electric bus on a given route. 2022 En : IEEE 5th International Electrical and Energy Conference (CIEEC). :
    Paper not yet in RePEc: Add citation now
  58. Li, J. ; Wu, X. ; Xu, M. ; Liu, Y. A real-time optimization energy management of range extended electric vehicles for battery lifetime and energy consumption. 2021 J. Power Sources. 498 -
    Paper not yet in RePEc: Add citation now
  59. Li, P. ; Zhang, Y. ; Zhang, K. ; Jiang, M. The effects of dynamic traffic conditions, route characteristics and environmental conditions on trip-based electricity consumption prediction of electric bus. 2021 Energy. 218 -

  60. Li, P. ; Zhang, Y. ; Zhang, Y. ; Zhang, Y. ; Zhang, K. Prediction of electric bus energy consumption with stochastic speed profile generation modelling and data driven method based on real-world big data. 2021 Appl. Energy. 298 -

  61. Li, W. ; Ding, H. ; Xu, N. ; Zhang, J. Toward carbon–neutral transportation electrification: a comprehensive and systematic review of eco-driving for electric vehicles. 2023 IEEE Transactions on Transportation Electrification. 1-20
    Paper not yet in RePEc: Add citation now
  62. Li, W. ; Stanula, P. ; Egede, P. ; Kara, S. ; Herrmann, C. Determining the main factors influencing the energy consumption of electric vehicles in the usage phase. 2016 Procedia Cirp. 48 352-357
    Paper not yet in RePEc: Add citation now
  63. Lin, H. ; Yan, Y. ; Cheng, Q. Future role of artificial intelligence in advancing transportation electrification. 2023 Journal of Intelligent and Connected Vehicles. 6 183-186
    Paper not yet in RePEc: Add citation now
  64. Liu, B. ; Li, F. ; Hou, Y. ; Biancardo, S.A. ; Ma, X. Unveiling built environment impacts on traffic CO2 emissions using Geo-CNN weighted regression. 2024 Transport. Res. Transport Environ.. 132 -
    Paper not yet in RePEc: Add citation now
  65. Liu, J. ; Li, M. ; Xue, L. ; Kobashi, T. A framework to evaluate the energy-environment-economic impacts of developing rooftop photovoltaics integrated with electric vehicles at city level. 2022 Renew. Energy. 200 647-657

  66. Liu, K. ; Wang, J. ; Yamamoto, T. ; Morikawa, T. Exploring the interactive effects of ambient temperature and vehicle auxiliary loads on electric vehicle energy consumption. 2018 Appl. Energy. 227 324-331

  67. Liu, Y. ; Francis, A. ; Hollauer, C. ; Lawson, M.C. ; Shaikh, O. ; Cotsman, A. ; Bhardwaj, K. ; Banboukian, A. ; Li, M. ; Webb, A. ; Asensio, O.I. Reliability of electric vehicle charging infrastructure: a cross-lingual deep learning approach. 2023 Communications in Transportation Research. 3 -
    Paper not yet in RePEc: Add citation now
  68. Liu, Y. ; Liang, H. A data-driven approach for electric bus energy consumption estimation. 2022 IEEE Trans. Intell. Transport. Syst.. 23 17027-17038
    Paper not yet in RePEc: Add citation now
  69. Liu, Y. ; Wu, F. ; Liu, Z. ; Wang, K. ; Wang, F. ; Qu, X. Can language models be used for real-world urban-delivery route optimization?. 2023 Innovation. 4 -
    Paper not yet in RePEc: Add citation now
  70. Liu, Y. ; Zhang, Q. ; Lyu, C. ; Liu, Z. Modelling the energy consumption of electric vehicles under uncertain and small data conditions. 2021 Transp. Res. A Policy Pract.. 154 313-328

  71. Łebkowski, A. Studies of energy consumption by a city bus powered by a hybrid energy storage system in variable road conditions. 2019 Energies. 12 951-

  72. Ma, F. ; Yan, X. Research on the energy consumption estimation method of pure electric vehicle based on XGBoost. 2019 En : 2019 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE). :
    Paper not yet in RePEc: Add citation now
  73. Madhusudhanan, A.K. ; Na, X. ; Cebon, D. A computationallyefficient framework for modelling energy consumption of ICE and electricvehicles. 2021 Energies. 14 2031-

  74. Maia, R. ; Silva, M. ; Araújo, R. ; Nunes, U. Electrical vehicle modeling: a fuzzy logic model for regenerative braking. 2015 Expert Syst. Appl.. 42 8504-8519
    Paper not yet in RePEc: Add citation now
  75. Masikos, M. ; Demestichas, K. ; Adamopoulou, E. ; Theologou, M. Mesoscopic forecasting of vehicular consumption using neural networks. 2015 Soft Comput.. 19 145-156
    Paper not yet in RePEc: Add citation now
  76. Maybury, L. ; Corcoran, P. ; Cipcigan, L. Mathematical modelling of electric vehicle adoption: a systematic literature review. 2022 Transport. Res. D. 107 -
    Paper not yet in RePEc: Add citation now
  77. Moawad, A. ; Gurumurthy, K.M. ; Verbas, O. ; Li, Z. ; Islam, E. ; Freyermuth, V. ; Rousseau, A. A deep learning approach for macroscopic energy consumption prediction with microscopic quality for electric vehicles. 2021 arXiv preprint arXiv:2111.12861. -
    Paper not yet in RePEc: Add citation now
  78. Naeem, H.M.Y. ; Butt, Y.A. ; Ahmed, Q. ; Bhatti, A.I. Optimal-control-based eco-driving solution for connected battery electric vehicle on a signalized route. 2023 Automotive Innovation. 6 586-596
    Paper not yet in RePEc: Add citation now
  79. Nan, S. ; Liao, F. ; Li, T. ; Chen, H. ; Sun, J. Identifying the electricity-saving driving behaviors of electric bus based on trip-level electricity consumption: a machine learning approach. 2023 Environ. Sci. Pollut. Control Ser.. 30 82743-82759
    Paper not yet in RePEc: Add citation now
  80. Nan, S. ; Tu, R. ; Li, T. ; Sun, J. ; Chen, H. From driving behavior to energy consumption: a novel method to predict the energy consumption of electric bus. 2022 Energy. 261 -

  81. Nanaki, E.A. ; Koroneos, C.J. Climate change mitigation and deployment of electric vehicles in urban areas. 2016 Renew. Energy. 99 1153-1160

  82. Orzechowski, A. ; Lugosch, L. ; Shu, H. ; Yang, R. ; Li, W. ; Meyer, B.H. A data-driven framework for medium-term electric vehicle charging demand forecasting. 2023 Energy and AI. 14 -
    Paper not yet in RePEc: Add citation now
  83. Pamuła, T. ; Pamuła, W. Estimation of the energy consumption of battery electric buses for public transport networks using real-world data and deep learning. 2020 Energies. 13 2340-
    Paper not yet in RePEc: Add citation now
  84. Pan, C. ; Li, Y. ; Wang, J. ; Liang, J. ; Jinyama, H. Research on multi-lane energy-saving driving strategy of connected electric vehicle based on vehicle speed prediction. 2023 Green Energy and Intelligent Transportation. 2 -
    Paper not yet in RePEc: Add citation now
  85. Pan, Y. ; Fang, W. ; Ge, Z. ; Li, C. ; Wang, C. ; Guo, B. A hybrid on-line approach for predicting the energy consumption of electric buses based on vehicle dynamics and system identification. 2024 Energy. 290 -

  86. Pan, Y. ; Fang, W. ; Zhang, W. Development of an energy consumption prediction model for battery electric vehicles in real-world driving: a combined approach of short-trip segment division and deep learning. 2023 J. Clean.. 400 -
    Paper not yet in RePEc: Add citation now
  87. Pei, M. ; Zhu, H. ; Ling, J. ; Hu, Y. ; Yao, H. ; Zhong, L. Empowering highway network: optimal deployment and strategy for dynamic wireless charging lanes. 2023 Communications in Transportation Research. 3 -
    Paper not yet in RePEc: Add citation now
  88. Petkevicius, L. ; Saltenis, S. ; Civilis, A. ; Torp, K. Probabilistic deep learning for electric-vehicle energy-use prediction. 2021 En : 17th International Symposium on Spatial and Temporal Databases. Presented at the SSTD ’21: 17th International Symposium on Spatial and Temporal Databases, ACM, Virtual USA. :
    Paper not yet in RePEc: Add citation now
  89. Potoglou, D. ; Song, R. ; Santos, G. Public charging choices of electric vehicle users: a review and conceptual framework. 2023 Transport. Res. D. 121 -
    Paper not yet in RePEc: Add citation now
  90. Qi, X. ; Wu, G. ; Boriboonsomsin, K. ; Barth, M.J. Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions. 2018 Transport. Res. D. 64 36-52
    Paper not yet in RePEc: Add citation now
  91. Qu, X. ; Lin, H. ; Liu, Y. Envisioning the future of transportation: inspiration of ChatGPT and large models. 2023 Communications in Transportation Research. 3 -
    Paper not yet in RePEc: Add citation now
  92. Qu, X. ; Liu, Y. ; Chen, Y. ; Bie, Y. Urban electric bus operation management: review and outlook. 2022 J. Automob. Saf. Energy Sav.. 13 407-420
    Paper not yet in RePEc: Add citation now
  93. Sebastiani, M.T. ; Luders, R. ; Fonseca, K.V.O. Evaluating electric bus operation for a real-world BRT public transportation using simulation optimization. 2016 IEEE Trans. Intell. Transport. Syst.. 17 2777-2786
    Paper not yet in RePEc: Add citation now
  94. Sekar, N.K. ; Malaghan, V. ; Pawar, D.S. Micro-simulation insights into the safety and operational benefits of autonomous vehicles. 2023 Journal of Intelligent and Connected Vehicles. 1-9
    Paper not yet in RePEc: Add citation now
  95. Sennefelder, R.M. ; Martín-Clemente, R. ; González-Carvajal, R. ; Trifonov, D. Data driven energy economy prediction for electric city buses using machine learning. 2023 IEEE Access. 11 97057-97071
    Paper not yet in RePEc: Add citation now
  96. Shao, Y. ; Sun, Z. Vehicle speed and gear position co-optimization for energy-efficient connected and autonomous vehicles. 2020 IEEE Trans. Control Syst. Technol.. 29 1721-1732
    Paper not yet in RePEc: Add citation now
  97. Shen, H. ; Wang, Z. ; Zhou, X. ; Lamantia, M. ; Yang, K. ; Chen, P. ; Wang, J. Electric vehicle velocity and energy consumption predictions using transformer and markov-chain Monte Carlo. 2022 IEEE Trans. Transp. Electrific.. 8 3836-3847
    Paper not yet in RePEc: Add citation now
  98. Shen, H. ; Zhou, X. ; Ahn, H. ; Lamantia, M. ; Chen, P. ; Wang, J. Personalized velocity and energy prediction for electric vehicles with road features in consideration. 2023 IEEE Trans. Transp. Electrification. 3958-3969
    Paper not yet in RePEc: Add citation now
  99. Singh, V. ; Vaibhav, S. A review and simple meta-analysis of factors influencing adoption of electric vehicles. 2020 Transport. Res. D. 86 -
    Paper not yet in RePEc: Add citation now
  100. Sweeting, W.J. ; Hutchinson, A.R. ; Savage, S.D. Factors affecting electric vehicle energy consumption. 2011 Int. J. Sustain.. 4 192-201
    Paper not yet in RePEc: Add citation now
  101. Tian, J. ; Jia, H. ; Wang, G. ; Huang, Q. ; Wu, R. ; Gao, H. ; Liu, C. Integrated optimization of charging infrastructure, fleet size and vehicle operation in shared autonomous electric vehicle system considering vehicle-to-grid. 2024 Renew. Energy. -

  102. Tian, X. ; Waygood, E.O.D. ; An, C. ; Chen, Z. ; Peng, H. Achieving urban net-zero targets through regionalized electric bus penetration and energy transition. 2023 Transport. Res. D. 120 -
    Paper not yet in RePEc: Add citation now
  103. Torkey, A. ; Zaki, M.H. ; El Damatty, A.A. Transportation electrification: a critical review of EVs mobility during disruptive events. 2024 Transport. Res. D. 128 -
    Paper not yet in RePEc: Add citation now
  104. Tran, C.Q. ; Keyvan-Ekbatani, M. ; Ngoduy, D. ; Watling, D. Dynamic wireless charging lanes location model in urban networks considering route choices. 2022 Transport. Res. C Emerg. Technol.. 139 -
    Paper not yet in RePEc: Add citation now
  105. Tu, W. ; Santi, P. ; Zhao, T. ; He, X. ; Li, Q. ; Dong, L. Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing. 2019 Appl. Energy. 250 147-160

  106. Ullah, I. ; Liu, K. ; Yamamoto, T. Electric vehicle energy consumption prediction using stacked generalization: an ensemble learning approach. 2021 Int. J. Green Energy. 18 896-909
    Paper not yet in RePEc: Add citation now
  107. Ullah, I. ; Liu, K. ; Yamamoto, T. ; Zahid, M. ; Jamal, A. Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction. 2023 Travel Behaviour and Society. 31 78-92
    Paper not yet in RePEc: Add citation now
  108. Vepsäläinen, J. ; Otto, K. ; Lajunen, A. ; Tammi, K. Computationally efficient model for energy demand prediction of electric city bus in varying operating conditions. 2019 Energy. 169 433-443

  109. Wager, G. ; Whale, J. ; Braunl, T. Driving electric vehicles at highway speeds: the effect of higher driving speeds on energy consumption and driving range for electric vehicles in Australia. 2016 Renew. Sustain. Energy Rev.. 63 158-165

  110. Wang, H. ; Zhao, D. ; Cai, Y. ; Meng, Q. ; Ong, G.P. A trajectory-based energy consumption estimation method considering battery degradation for an urban electric vehicle network. 2019 Transport. Res. D. 74 142-153
    Paper not yet in RePEc: Add citation now
  111. Wang, H. ; Zhao, D. ; Meng, Q. ; Ong, G.P. ; Lee, D.H. Network-level energy consumption estimation for electric vehicles considering vehicle and user heterogeneity. 2020 Transport. Res. Part A Policy Pract. 132 30-46

  112. Wang, J. ; Besselink, I. ; Nijmeijer, H. Battery electric vehicle energy consumption modelling for range estimation. 2017 Int. J. Electr. Hybrid Veh. (IJEHV). 9 79-102
    Paper not yet in RePEc: Add citation now
  113. Wang, J. ; Guo, Q. ; Sun, H. ; Chen, M. Collaborative optimization of logistics and electricity for the mobile charging service system. 2023 Appl. Energy. 336 -

  114. Wang, J.B. ; Liu, K. ; Yamamoto, T. ; Morikawa, T. Improving estimation accuracy for electric vehicle energy consumption considering the effects of ambient temperature. 2017 Energy Proc.. 105 2904-2909
    Paper not yet in RePEc: Add citation now
  115. Wang, S. ; Li, Y. ; Chen, A. ; Zhuge, C. Electrification of a citywide bus network: a data-driven micro-simulation approach. 2023 Transport. Res. D. 116 -
    Paper not yet in RePEc: Add citation now
  116. Wang, Z. ; Liu, Z. ; Cheng, Q. ; Gu, Z. Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data. 2024 Transport. Res. Part C. 158 -
    Paper not yet in RePEc: Add citation now
  117. Weiss, M. ; Dekker, P. ; Moro, A. ; Scholz, H. ; Patel, M.K. On the electrification of road transportation–A review of the environmental, economic, and social performance of electric two-wheelers. 2015 Transport. Res. D. 41 348-366
    Paper not yet in RePEc: Add citation now
  118. Wu, G. ; Ye, F. ; Hao, P. ; Esaid, D. ; Boriboonsomsin, K. ; Barth, M.J. Deep learning–based eco-driving system for battery electric vehicles. 2019 :

  119. Wu, X. ; Freese, D. ; Cabrera, A. ; Kitch, W.A. Electric vehicles' energy consumption measurement and estimation. 2015 Transport. Res. D. 34 52-67
    Paper not yet in RePEc: Add citation now
  120. Wu, Y. ; Aziz, S.M. ; Haque, M.H. Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimisation of households with photovoltaic system and battery energy storage. 2024 Renew. Energy. 221 -

  121. Xing, Q. ; Chen, Z. ; Zhang, Z. ; Xu, X. ; Zhang, T. ; Huang, X. ; Wang, H. Urban electric vehicle fast-charging demand forecasting model based on data-driven approach and human decision-making behavior. 2020 Energies. 13 1412-

  122. Xu, X. ; Aziz, H.A. ; Guensler, R. A modal-based approach for estimating electric vehicle energy consumption in transportation networks. 2019 Transport. Res. D. 75 249-264
    Paper not yet in RePEc: Add citation now
  123. Xu, Z. ; Wang, J. ; Lund, P.D. ; Zhang, Y. Analysis of energy consumption for electric buses based on low-frequency real-world data. 2023 Transport. Res. D. 122 -
    Paper not yet in RePEc: Add citation now
  124. Yang, S.C. ; Li, M. ; Lin, Y. ; Tang, T.Q. Electric vehicle's electricity consumption on a road with different slope. 2014 Phys. Stat. Mech. Appl.. 402 41-48

  125. Yang, X. ; Liu, Z. ; Cheng, Q. ; Liu, P. Geometry-aware car-following model construction: theoretical modeling and empirical analysis on horizontal curves. 2024 Transport. Res. C Emerg. Technol.. 166 -
    Paper not yet in RePEc: Add citation now
  126. Yang, Y. ; Liu, Y. ; Li, G. ; Zhang, Z. ; Liu, Y. Harnessing the power of Machine learning for AIS Data-Driven maritime Research: a comprehensive review. 2024 Transport. Res. E Logist. Transport. Rev.. 183 -

  127. Yao, E. ; Yang, Z. ; Song, Y. ; Zuo, T. Comparison of electric vehicle's energy consumption factors for different road types. 2013 Discrete Dynam Nat. Soc.. 2013 1-7

  128. Yao, J. ; Moawad, A. Vehicle energy consumption estimation using large scale simulations and machine learning methods. 2019 Transport. Res. C Emerg. Technol.. 101 276-296
    Paper not yet in RePEc: Add citation now
  129. Yi, Z. ; Bauer, P.H. Effects of environmental factors on electric vehicle energy consumption: a sensitivity analysis. 2017 IET Electr. Syst. Transp.. 7 3-13
    Paper not yet in RePEc: Add citation now
  130. Yong, W. ; Wei, C. ; He, H. Estimating the energy consumption and driving range of electric vehicles with machine learning. 2021 J. Phys.: Conference Seires. 1-6
    Paper not yet in RePEc: Add citation now
  131. Zeng, Z. ; Qu, X. What's next for battery-electric bus charging systems. 2023 Communications in Transportation Research. 3 -
    Paper not yet in RePEc: Add citation now
  132. Zhang, F. ; Xi, J. ; Langari, R. Real-time energy management strategy based on velocity forecasts using V2V and V2I communications. 2017 IEEE Trans. Intell. Transport. Syst.. 18 416-430
    Paper not yet in RePEc: Add citation now
  133. Zhang, H. ; Peng, J. ; Dong, H. ; Ding, F. ; Tan, H. Integrated velocity optimization and energy management strategy for hybrid electric vehicle platoon: a multiagent reinforcement learning approach. 2024 IEEE Trans. Transp. Electrific.. 10 2547-2561
    Paper not yet in RePEc: Add citation now
  134. Zhang, J. ; Wang, Z. ; Liu, P. ; Zhang, Z. Energy consumption analysis and prediction of electric vehicles based on real-world driving data. 2020 Appl. Energy. 275 -

  135. Zhang, L. ; Han, Y. ; Peng, J. ; Wang, Y. Vehicle and charging scheduling of electric bus fleets: a comprehensive review. 2023 Journal of Intelligent and Connected Vehicles. 1-9
    Paper not yet in RePEc: Add citation now
  136. Zhang, R. ; Yao, E. Electric vehicles' energy consumption estimation with real driving condition data. 2015 Transport. Res. D. 41 177-187
    Paper not yet in RePEc: Add citation now
  137. Zhang, R. ; Yao, E. Mesoscopic model framework for estimating electric vehicles' energy consumption. 2019 Sustain. Cities Soc.. 47 -
    Paper not yet in RePEc: Add citation now
  138. Zhang, Y. ; Ai, Z. ; Chen, J. ; You, T. ; Du, C. ; Deng, L. Energy-saving optimization and control of autonomous electric vehicles with considering multiconstraints. 2021 IEEE Trans. Cybern.. 52 10869-10881
    Paper not yet in RePEc: Add citation now
  139. Zhang, Y. ; Fu, R. ; Guo, Y. ; Yuan, W. Environmental screening model of driving behavior for an electric bus entering and leaving stops. 2022 Transport. Res. D. 112 -
    Paper not yet in RePEc: Add citation now
  140. Zhao, G. ; Xu, W. ; Wang, Y. A new method for estimating lithium-ion battery state-of-energy based on multi-timescale filter. 2023 Automotive Innovation. 6 611-621
    Paper not yet in RePEc: Add citation now
  141. Zhao, J. ; Xu, C. ; Li, X. Electric vehicle energy consumption analysis and prediction based on real-world driving data. 2023 J. Mech. Eng.. 59 263-274
    Paper not yet in RePEc: Add citation now
  142. Zhao, L. ; Ke, H. ; Huo, W. A frequency item mining based energy consumption prediction method for electric bus. 2023 Energy. 263 -

  143. Zhong, C. ; Wu, P. ; Zhang, Q. ; Ma, Z. Online prediction of network-level public transport demand based on principle component analysis. 2023 Communications in Transportation Research. 3 -
    Paper not yet in RePEc: Add citation now
  144. Zhong, S. ; Zhao, Y. ; Ge, L. ; Shan, Z. ; Ma, F. Vehicle state and bias estimation based on unscented kalman filter with vehicle hybrid kinematics and dynamics models. 2023 Automotive Innovation. 6 571-585
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Lane Change Trajectory Planning for Intelligent Electric Vehicles in Dynamic Traffic Environments: Aiming at Optimal Energy Consumption. (2025). Hu, Lin ; Wong, Pak Kin ; Huang, Jing ; Wang, Jie ; Zhao, Jing.
    In: Sustainability.
    RePEc:gam:jsusta:v:17:y:2025:i:9:p:4235-:d:1650914.

    Full description at Econpapers || Download paper

  2. Analysis of Factors Affecting Electric Vehicle Range Estimation: A Case Study of the Eskisehir Osmangazi University Campus. (2025). Yazici, Ahmet ; Sariiek, Nci ; Keser, Sinem Bozkurt ; Polat, Ahmet Alperen.
    In: Sustainability.
    RePEc:gam:jsusta:v:17:y:2025:i:8:p:3488-:d:1634156.

    Full description at Econpapers || Download paper

  3. Comparative Sensitivity Analyses of Energy Consumption in Response to Average Speed Between Electric Vehicles and Conventional Vehicles: Case Study in Beijing, China. (2025). Wu, Yizheng ; Li, Songsong ; Lei, Xue ; Lu, Hongyu ; Fan, Pengfei ; Liu, Rui ; Song, Guohua.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:9:p:2268-:d:1645684.

    Full description at Econpapers || Download paper

  4. Research on energy consumption law and charging strategies design of electric buses. (2025). Liu, Peng ; Lin, NI ; Wang, Zhenpo ; Zhang, Zhaosheng ; Liang, Yiqiang ; Xia, Ling ; Tang, Chaoyang.
    In: Energy.
    RePEc:eee:energy:v:322:y:2025:i:c:s0360544225009697.

    Full description at Econpapers || Download paper

  5. Appositeness of automated machine learning libraries on prediction of energy consumption for electric two-wheelers based on micro-trip approach. (2025). Gurusamy, Azhaganathan ; Bokdia, Akshat ; Kumar, Harsh ; Ashok, Bragadeshwaran ; Gunavathi, Chellamuthu.
    In: Energy.
    RePEc:eee:energy:v:320:y:2025:i:c:s0360544225008412.

    Full description at Econpapers || Download paper

  6. Hierarchical eco-driving of connected hybrid electric vehicles: Integrating predictive cruise control and cost-to-go approximation-guided energy management. (2025). Song, Yunfeng ; You, Xiongxiong ; Zhang, Yahui ; Zhao, Yahui ; Wei, Zeyi ; Jiao, Xiaohong.
    In: Energy.
    RePEc:eee:energy:v:319:y:2025:i:c:s036054422500221x.

    Full description at Econpapers || Download paper

  7. Extreme heat effects on electric vehicle energy consumption and driving range. (2025). Kuby, Michael ; Parker, Nathan C ; Stechel, Ellen B ; Liu, Jingteng.
    In: Applied Energy.
    RePEc:eee:appene:v:380:y:2025:i:c:s0306261924024358.

    Full description at Econpapers || Download paper

  8. Improving Sustainability in Urban and Road Transportation: Dual Battery Block and Fuel Cell Hybrid Power System for Electric Vehicles. (2024). Armenta-Deu, Carlos.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:5:p:2110-:d:1350610.

    Full description at Econpapers || Download paper

  9. Analyzing Energy Efficiency and Battery Supervision in Electric Bus Integration for Improved Urban Transport Sustainability. (2024). Lakatos, Istvan ; Saly, Gabor ; Szurke, Szabolcs Kocsis.
    In: Sustainability.
    RePEc:gam:jsusta:v:16:y:2024:i:18:p:8182-:d:1481340.

    Full description at Econpapers || Download paper

  10. Electric Vehicle Routing Problem with an Enhanced Vehicle Dispatching Approach Considering Real-Life Data. (2024). Tabaa, Mohamed ; Abid, Meryem ; Hachimi, Hanaa.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:7:p:1596-:d:1364654.

    Full description at Econpapers || Download paper

  11. Ambient Temperature Effects on Energy Consumption and CO 2 Emissions of a Plug-in Hybrid Electric Vehicle. (2024). Shahbakhti, Mahdi ; Abediasl, Hamidreza ; Ansari, Amir.
    In: Energies.
    RePEc:gam:jeners:v:17:y:2024:i:14:p:3566-:d:1439226.

    Full description at Econpapers || Download paper

  12. A review of machine learning approaches for electric vehicle energy consumption modelling in urban transportation. (2024). Qu, Xiaobo ; Xu, Zhigang ; Liu, Yang ; Zhang, Zhe.
    In: Renewable Energy.
    RePEc:eee:renene:v:234:y:2024:i:c:s0960148124013119.

    Full description at Econpapers || Download paper

  13. Parameters collaborative optimization design and innovation verification approach for fuel cell distributed drive electric tractor. (2024). Yan, Xianghai ; Zhao, Sixia ; Zhang, Mingzhu ; Liu, Mengnan ; Xu, Liyou ; Hu, Chenming.
    In: Energy.
    RePEc:eee:energy:v:292:y:2024:i:c:s0360544224002561.

    Full description at Econpapers || Download paper

  14. Analysis of factors influencing energy consumption of electric vehicles: Statistical, predictive, and causal perspectives. (2024). Zhang, Zhe ; Wang, Yizhou ; He, Hongdi ; Huang, Haichao ; Li, Bowen.
    In: Applied Energy.
    RePEc:eee:appene:v:375:y:2024:i:c:s0306261924014934.

    Full description at Econpapers || Download paper

  15. A highly credible and efficient real-time carbon MRV + O system for delicacy management of distributed carbon abatement behaviors. (2024). Guo, RU ; Li, Qingqing ; Yang, Nan ; Ni, Kan ; Shi, Jinbo ; Zhang, Chongyi ; Liao, Zhenliang ; Shen, Yifan ; Wang, Ruohan.
    In: Applied Energy.
    RePEc:eee:appene:v:355:y:2024:i:c:s030626192301629x.

    Full description at Econpapers || Download paper

  16. Optimizing Energy Consumption in Smart Cities’ Mobility: Electric Vehicles, Algorithms, and Collaborative Economy. (2023). Juan, Angel ; Fluechter, Tristan ; Ammouriova, Majsa ; Calvet, Laura ; Panadero, Javier ; Ghorbani, Elnaz.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:3:p:1268-:d:1046017.

    Full description at Econpapers || Download paper

  17. Estimating Energy Consumption of Battery Electric Vehicles Using Vehicle Sensor Data and Machine Learning Approaches. (2023). Mona, Yuttana ; Wongsapai, Wongkot ; Achariyaviriya, Witsarut ; Katongtung, Tossapon ; Suttakul, Pana ; Tippayawong, Nakorn ; Janpoom, Kittitat.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:17:p:6351-:d:1231261.

    Full description at Econpapers || Download paper

  18. A Comparative Study on the Energy Flow of Electric Vehicle Batteries among Different Environmental Temperatures. (2023). Zhao, Zhichao ; Wang, YI ; Ou, Yang ; Feng, Renhua ; Li, LU ; Yu, Jing.
    In: Energies.
    RePEc:gam:jeners:v:16:y:2023:i:14:p:5253-:d:1189839.

    Full description at Econpapers || Download paper

  19. Combined single-pedal and low adhesion control systems for enhanced energy regeneration in electric vehicles: Modeling, simulation, and on-field test. (2023). Du, Xiaofang ; Li, Shicheng ; Wang, Nian ; Xu, Lin ; Lin, Feng.
    In: Energy.
    RePEc:eee:energy:v:269:y:2023:i:c:s0360544223003766.

    Full description at Econpapers || Download paper

  20. Trip-level energy consumption prediction model for electric bus combining Markov-based speed profile generation and Gaussian processing regression. (2023). Yu, Yuanbin ; Sun, Weiyi ; Cao, Qiming ; Jiang, Junyu ; Min, Haitao ; Luo, Chunqi ; Zhang, Zhaopu.
    In: Energy.
    RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222027529.

    Full description at Econpapers || Download paper

  21. Grid-connected cabin preheating of Electric Vehicles in cold climates – A non-flexible share of the EV energy use. (2023). Sorensen, Se Lekang ; Andresen, Inger ; Ludvigsen, Bjorn.
    In: Applied Energy.
    RePEc:eee:appene:v:341:y:2023:i:c:s030626192300418x.

    Full description at Econpapers || Download paper

  22. Systematic Method for Developing Reference Driving Cycles Appropriate to Electric L-Category Vehicles. (2022). Baptista, Patricia ; Gao, Jianbing ; Chen, Haibo ; Duarte, Gonalo ; Watling, David.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:9:p:3466-:d:811775.

    Full description at Econpapers || Download paper

  23. Strategies for the Modelisation of Electric Vehicle Energy Consumption: A Review. (2022). Miraftabzadeh, Seyed Mahdi ; Longo, Michela ; di Martino, Andrea.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:21:p:8115-:d:959222.

    Full description at Econpapers || Download paper

  24. Framework for planning of EV charging infrastructure: Where should cities start?. (2022). Abdelgawad, Hossam ; Torkey, Alaa.
    In: Transport Policy.
    RePEc:eee:trapol:v:128:y:2022:i:c:p:193-208.

    Full description at Econpapers || Download paper

  25. Impact of climatic conditions on prospects for integrated photovoltaics in electric vehicles. (2022). Dunlop, Ewan ; Thiel, Christian ; Jager-Waldau, Arnulf ; Tsakalidis, Anastasios ; Amillo, Ana Gracia ; Ota, Yasuyuki ; Tansini, Alessandro ; Taylor, Nigel ; Yamaguchi, Masafumi ; Nishioka, Kensuke ; Araki, Kenji ; Fontaras, Georgios.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:158:y:2022:i:c:s1364032122000387.

    Full description at Econpapers || Download paper

  26. The emerging driving force of energy consumption in China: Does digital economy development matter?. (2022). Wu, Haitao ; Hao, YU ; Xue, Yan ; Liu, Jianmin ; Tang, Chang.
    In: Energy Policy.
    RePEc:eee:enepol:v:165:y:2022:i:c:s0301421522002221.

    Full description at Econpapers || Download paper

  27. Impacts of Extreme Ambient Temperatures and Road Gradient on Energy Consumption and CO 2 Emissions of a Euro 6d-Temp Gasoline Vehicle. (2021). Fontaras, Georgios ; Komnos, Dimitrios ; Giechaskiel, Barouch.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:19:p:6195-:d:645377.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-30 09:34:15 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.