1. Robust Adaptive Fractional-Order PID Controller Design for High-Power DC-DC Dual Active Bridge Converter Enhanced Using Multi-Agent Deep Deterministic Policy Gradient Algorithm for Electric Vehicles. (2025). Habibi, Daryoush ; Aziz, Asma ; Ghamari, Seyyed Morteza.
   In: Energies.
   RePEc:gam:jeners:v:18:y:2025:i:12:p:3046-:d:1674897.

   Full description at Econpapers || Download paper

2. Decomposition prediction fractional-order active disturbance rejection control deep Q network for generation control of integrated energy systems. (2025). Yin, Linfei ; Huang, Wenxuan ; Lu, Quan.
   In: Applied Energy.
   RePEc:eee:appene:v:377:y:2025:i:pd:s0306261924021561.

   Full description at Econpapers || Download paper

3. Research on the multi-area cooperative control method for novel power systems. (2024). Shi, YU ; Liu, Zhihong ; Quan, Yue.
   In: Energy.
   RePEc:eee:energy:v:313:y:2024:i:c:s0360544224036909.

   Full description at Econpapers || Download paper

1. Acikgoz, H. A novel approach based on integration of convolutional neural networks and deep feature selection for short-term solar radiation forecasting. 2022 Appl Energy. 305 -

2. Ahajjam, M.A. ; Licea, D.B. ; Ghogho, M. ; Kobbane, A. Experimental investigation of variational mode decomposition and deep learning for short-term multi-horizon residential electric load forecasting. 2022 Appl Energy. 326 -

3. Alegre, L.N. ; Ziemke, T. ; Bazzan, A.L.C. Using reinforcement learning to control traffic signals in a real-world scenario: an approach based on linear function approximation. 2021 IEEE Trans Intell Transp Syst. 23 9126-9135
   Paper not yet in RePEc: Add citation now
   

4. Andrade, C. ; Selosse, S. ; Maïzi, N. The role of power-to-gas in the integration of variable renewables. 2022 Appl Energy. 313 -

5. Bu, C. ; Cui, X. ; Li, R. ; Li, J. ; Zhang, Y. ; Wang, C. Achieving net-zero emissions in China’s passenger transport sector through regionally tailored mitigation strategies. 2021 Appl Energy. 284 -

6. Cañizares, C.A. ; Bhattacharya, K. ; Sohm, D. Frequency regulation model of bulk power systems with energy storage. 2021 IEEE Trans Power Syst. 37 913-926
   Paper not yet in RePEc: Add citation now
   

7. Cao, M. ; Shao, C. ; Hu, B. ; Xie, K. ; Zhou, J. ; Leng, H. Reliability tracing of the integrated energy system using the improved shapley value. 2022 Energy. 260 -

8. Chen, X. ; Hu, S. ; Li, Y. ; Yue, D. ; Dou, C. ; Ding, L. Co-estimation of state and FDI attacks and attack compensation control for multi-area load frequency control systems under FDI and DoS attacks. 2022 IEEE Trans Smart Grid. 13 2357-2368
   Paper not yet in RePEc: Add citation now
   

9. Chen, X. ; Wang, C. ; Xu, J. ; Long, S. ; Chai, F. ; Li, W. Membrane humidity control of proton exchange membrane fuel cell system using fractional-order PID strategy. 2023 Appl Energy. 343 -

10. Cheng, G. ; Wang, X. ; He, Y. Remaining useful life and state of health prediction for lithium batteries based on empirical mode decomposition and a long and short memory neural network. 2021 Energy. 232 -

11. Daraz, A. Optimized cascaded controller for frequency stabilization of marine microgrid system. 2023 Appl Energy. 350 -

12. Daraz, A. ; Malik, S.A. ; Basit, A. ; Aslam, S. ; Zhang, G. Modified FOPID controller for frequency regulation of a hybrid interconnected system of conventional and renewable energy sources. 2023 Fractal Fractional. 7 89-
    Paper not yet in RePEc: Add citation now
    

13. Ding, S. ; Gu, W. ; Lu, S. ; Yu, R. ; Sheng, L. Cyber-attack against heating system in integrated energy systems: model and propagation mechanism. 2022 Appl Energy. 311 -

14. Fang, T. ; Zheng, C. ; Wang, D. Forecasting the crude oil prices with an EMD-ISBM-FNN model. 2023 Energy. 263 -

15. Ge, L. ; Liu, H. ; Yan, J. ; Zhu, X. ; Zhang, S. ; Li, Y. Optimal integrated energy system planning with DG uncertainty affine model and carbon emissions charges. 2021 IEEE Trans Sustain Energy. 13 905-918
    Paper not yet in RePEc: Add citation now
    
16. Guan, M. Scheduled power control and autonomous energy control of grid-connected energy storage system (ESS) with virtual synchronous generator and primary frequency regulation capabilities. 2021 IEEE Trans Power Syst. 37 942-954
    Paper not yet in RePEc: Add citation now
    
17. Guo, Y. ; Li, Y. ; Qiao, X. ; Zhang, Z. ; Zhou, W. BiLSTM multitask learning-based combined load forecasting considering the loads coupling relationship for multienergy system. 2022 IEEE Trans Smart Grid. 13 3481-3492
    Paper not yet in RePEc: Add citation now
    

18. Han, K. ; Yang, K. ; Yin, L. Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids. 2022 Appl Energy. 317 -

19. Han, Y. ; Mi, L. ; Shen, L. ; Cai, C. ; Liu, Y. ; Li, K. A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting. 2022 Appl Energy. 312 -

20. Heins, T. ; Joševski, M. ; Gurumurthy, S. ; Monti, A. Centralized model predictive control for transient frequency control in islanded inverter-based microgrids. 2022 IEEE Trans. Power Syst.. 38 2641-2652
    Paper not yet in RePEc: Add citation now
    
21. Huang, G. ; Li, X. ; Zhang, B. ; Ren, J. ; PM2., 5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition. 2021 Sci Total Environ. 768 -
    Paper not yet in RePEc: Add citation now
    
22. Jia, K. ; Liu, C. ; Li, S. ; Jiang, D. Modeling and optimization of a hybrid renewable energy system integrated with gas turbine and energy storage. 2023 Energ Conver Manage. 279 -
    Paper not yet in RePEc: Add citation now
    

23. Li, B. ; Li, X. ; Su, Q. A system and game strategy for the isolated island electric-gas deeply coupled energy network. 2022 Appl Energy. 306 -

24. Li, B. ; Li, Z. ; Xu, J. ; Deng, Y. ; Wang, H. Thermal-economy optimization for single/dual/triple-pressure HRSG of gas-steam combined cycle by multi-objective genetic algorithm. 2022 Energ Conver Manage. 258 -
    Paper not yet in RePEc: Add citation now
    
25. Li, B. ; Wang, H. Multi-objective sparrow search algorithm: a novel algorithm for solving complex multi-objective optimisation problems. 2022 Expert Syst Appl. 210 -
    Paper not yet in RePEc: Add citation now
    

26. Li, H. ; Misra, S. Reinforcement learning based automated history matching for improved hydrocarbon production forecast. 2021 Appl Energy. 284 -

27. Liu, L. ; Zhai, R. ; Hu, Y. Multi-objective optimization with advanced exergy analysis of a wind-solar-hydrogen multi-energy supply system. 2023 Appl Energy. 348 -
    Paper not yet in RePEc: Add citation now
    

28. Liu, Y. ; Liu, Y. ; Cai, H. ; Zhang, J. An innovative short-term multihorizon photovoltaic power output forecasting method based on variational mode decomposition and a capsule convolutional neural network. 2023 Appl Energy. 343 -

29. Makolo, P. ; Zamora, R. ; Lie, T.T. The role of inertia for grid flexibility under high penetration of variable renewables-a review of challenges and solutions. 2021 Renew Sustain Energy Rev. 147 -

30. Meng, H. ; Geng, M. ; Xing, J. ; Zio, E. A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena. 2022 Energy. 261 -

31. Mughees, N. ; Jaffery, M.H. ; Mughees, A. ; Mughees, A. ; Ansari, E.A. Reinforcement learning-based composite differential evolution for integrated demand response scheme in industrial microgrids. 2023 Appl Energy. 342 -

32. Navas, A. ; Gómez, J.S. ; Llanos, J. ; Rute, E. ; Sáez, D. ; Summer, M. Distributed predictive control strategy for frequency restoration of microgrids considering optimal dispatch. 2021 IEEE Trans Smart Grid. 12 2748-2759
    Paper not yet in RePEc: Add citation now
    

33. Nondy, J. ; Gogoi, T.K. Tri-objective optimization of two recuperative gas turbine-based CCHP systems and 4E analyses at optimal conditions. 2022 Appl Energy. 323 -

34. Pei, E. ; Zhou, L. ; Deng, B. ; Zhang, Z. ; Li, Y. A Q-learning based energy threshold optimization algorithm in LAA networks. 2021 IEEE Trans Veh Technol. 70 7037-7049
    Paper not yet in RePEc: Add citation now
    

35. Peng, T. ; Zhang, C. ; Zhou, J. ; Nazir, M. An integrated framework of bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting. 2021 Energy. 221 -

36. Skiparev, V. ; Nosrati, K. ; Tepljakov, A. ; Levron, Y. ; Belikov, J. Virtual inertia control of isolated microgrids using an NN-based VFOPID controller. 2023 IEEE Trans Sustain Energy. -
    Paper not yet in RePEc: Add citation now
    

37. Wang, L. ; Lin, J. ; Dong, H. ; Zeng, M. Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system. 2023 Energy. 270 -

38. Wu, L. ; Yin, X. ; Pan, L. ; Liu, J. Economic model predictive control of integrated energy systems: a multi-time-scale framework. 2022 Appl Energy. 328 -

39. Xiao, Z. ; Huang, X. ; Liu, J. ; Li, C. ; Tai, Y. A novel method based on time series ensemble model for hourly photovoltaic power prediction. 2023 Energy. 276 -

40. Xie, J. ; Sun, W. Distributional deep reinforcement learning-based emergency frequency control. 2021 IEEE Trans Power Syst. 37 2720-2730
    Paper not yet in RePEc: Add citation now
    
41. Yan, L. ; Chen, X. ; Zhou, J. ; Wen, J. ; Chen, Y. Deep reinforcement learning for continuous electric vehicles charging control with dynamic user behaviors. 2021 IEEE Trans Smart Grid. 12 5124-5134
    Paper not yet in RePEc: Add citation now
    
42. Yang, B. ; Wang, J. ; Wang, J. ; Shu, H. ; Zeng, C. Robust fractional-order PID control of supercapacitor energy storage systems for distribution network applications: a perturbation compensation based approach. 2021 J Clean Prod. 279 -
    Paper not yet in RePEc: Add citation now
    
43. Yang, F. ; Shao, X. ; Muyeen, S.M. ; Fang, C. ; Li, D. Disturbance observer based fractional-order integral sliding mode frequency control strategy for interconnected power system. 2021 IEEE Trans Power Syst. 36 5922-5932
    Paper not yet in RePEc: Add citation now
    
44. Yin, L. ; Cao, X. Inspired lightweight robust quantum Q-learning for smart generation control of power systems. 2022 Appl Soft Comput. 131 -
    Paper not yet in RePEc: Add citation now
    

45. Yin, L. ; He, X. Artificial emotional deep Q learning for real-time smart voltage control of cyber-physical social power systems. 2023 Energy. 273 -

46. Yin, L. ; Li, S. ; Liu, H. Lazy reinforcement learning for real-time generation control of parallel cyber–physical–social energy systems. 2020 Eng Appl Artif Intel. 88 -
    Paper not yet in RePEc: Add citation now
    
47. Yin, L. ; Li, Y. Fuzzy vector reinforcement learning algorithm for generation control of power systems considering flywheel energy storage. 2022 Appl Soft Comput. 125 -
    Paper not yet in RePEc: Add citation now
    
48. Yin, L. ; Lu, Y. Expandable quantum deep width learning-based distributed voltage control for smart grids with high penetration of distributed energy resources. 2022 Int J Electr Power Energy Syst. 137 -
    Paper not yet in RePEc: Add citation now
    

49. Yin, L. ; Luo, S. ; Ma, C. Expandable depth and width adaptive dynamic programming for economic smart generation control of smart grids. 2021 Energy. 232 -

50. Yin, L. ; Su, Z. Multi-step depth model predictive control for photovoltaic power systems based on maximum power point tracking techniques. 2021 Int J Electr Power Energy Syst. 131 -
    Paper not yet in RePEc: Add citation now
    
51. Yin, L. ; Wu, Y. Mode-decomposition memory reinforcement network strategy for smart generation control in multi-area power systems containing renewable energy. 2022 Appl Energy. 307 -
    Paper not yet in RePEc: Add citation now
    

52. Yin, L. ; Wu, Y. Mode-decomposition memory reinforcement network strategy for smart generation control in multi-area power systems containing renewable energy. 2022 Appl Energy. 307 -

53. Yin, L. ; Zhang, B. Relaxed deep generative adversarial networks for real-time economic smart generation dispatch and control of integrated energy systems. 2023 Appl Energy. 330 -

54. Yin, L. ; Zhang, B. Time series generative adversarial network controller for long-term smart generation control of microgrids. 2021 Appl Energy. 281 -

55. Yin, L. ; Zhao, L. Rejectable deep differential dynamic programming for real-time integrated generation dispatch and control of micro-grids. 2021 Energy. 225 -

56. Zeng, R. ; Guo, B. ; Zhang, X. ; Zhang, G. ; Li, H. Study on thermodynamic performance of SOFC-CCHP system integrating ORC and double-effect ARC. 2021 Energ Conver Manage. 242 -
    Paper not yet in RePEc: Add citation now
    

57. Zhang, C. ; Hua, L. ; Ji, C. ; Peng, T. ; Nazir, M.S. An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine. 2022 Appl Energy. 322 -

58. Zhang, G. ; Daraz, A. ; Khan, I.A. ; Ullah, M. ; Basit, A. Driver training based optimized fractional order PI-PDF controller for frequency stabilization of diverse hybrid power system. 2023 Fractal Fractional. 7 315-
    Paper not yet in RePEc: Add citation now
    

59. Zhang, Y. ; Li, C. ; Jiang, Y. ; Wang, W. ; Zhao, R. ; Yan, K. A hybrid model combining mode decomposition and deep learning algorithms for detecting TP in urban sewer networks. 2023 Appl Energy. 333 -

60. Zhao, C. ; Andersen, P.B. ; Træholt, C. ; Hashemi, S. Grid-connected battery energy storage system: a review on application and integration. 2023 Renew Sustain Energy Rev. 182 -

61. Zhao, Z. ; Xun, J. ; Wen, X. ; Chen, J. Safe reinforcement learning for single train trajectory optimization via shield SARSA. 2022 IEEE Trans Intell Transp Syst. 24 412-428
    Paper not yet in RePEc: Add citation now
    

62. Zheng, Y. ; Wang, J. ; You, S. ; Li, X. ; Münster, M. Data-driven scheme for optimal day-ahead operation of a wind/hydrogen system under multiple uncertainties. 2023 Appl Energy. 329 -

63. Zhou, J. ; Wu, Y. ; Zhong, Z. ; Xu, C. ; Ke, Y. ; Gao, J. Modeling and configuration optimization of the natural gas-wind-photovoltaic-hydrogen integrated energy system: a novel deviation satisfaction strategy. 2021 Energ Conver Manage. 243 -
    Paper not yet in RePEc: Add citation now
    

1. Short-term multi-site solar irradiance prediction with dynamic-graph-convolution-based spatial-temporal correlation capturing. (2025). Wei, Zhinong ; Zang, Haixiang ; Li, Wenan ; Cheng, Lilin ; Liu, Jingxuan ; Sun, Guoqiang.
   In: Renewable Energy.
   RePEc:eee:renene:v:246:y:2025:i:c:s096014812500607x.

   Full description at Econpapers || Download paper

2. Research on cross-domain generative diagnosis for oil and gas pipeline defect based on limited field data. (2025). Liang, Wei ; Yao, Junming ; Xiao, Zhongmin.
   In: Energy.
   RePEc:eee:energy:v:319:y:2025:i:c:s0360544225007285.

   Full description at Econpapers || Download paper

3. An error-corrected deep Autoformer model via Bayesian optimization algorithm and secondary decomposition for photovoltaic power prediction. (2025). Chen, Jie ; Peng, Tian ; Ge, Yida ; Qian, Shijie ; Wang, Zheng ; Nazir, Muhammad Shahzad ; Zhang, Chu.
   In: Applied Energy.
   RePEc:eee:appene:v:377:y:2025:i:pd:s0306261924021214.

   Full description at Econpapers || Download paper

4. Multiple operational strategies investigations of the PV/T collectors based on 3 days ahead hourly radiation prediction. (2025). Gao, Yafeng ; Fan, Zhixuan ; Long, HE ; Han, Lijun ; Wang, Yingming ; Guan, Jingxuan ; Dong, Shiqian ; Di, Yanqiang.
   In: Applied Energy.
   RePEc:eee:appene:v:377:y:2025:i:pa:s0306261924017665.

   Full description at Econpapers || Download paper

5. Powering Electricity Forecasting with Transfer Learning. (2024). Moussa, Sherif ; Safaraliev, Murodbek ; Reyes, Jorge Avante ; Sulieman, Hana ; Kamalov, Firuz.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:3:p:626-:d:1328095.

   Full description at Econpapers || Download paper

6. A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective. (2024). Wyrwa, Artur ; Khan, Atif Maqbool.
   In: Energies.
   RePEc:gam:jeners:v:17:y:2024:i:19:p:4910-:d:1489799.

   Full description at Econpapers || Download paper

7. A comprehensive review on deep learning approaches for short-term load forecasting. (2024). Eren, Yavuz ; Kuukdemiral, Brahim.
   In: Renewable and Sustainable Energy Reviews.
   RePEc:eee:rensus:v:189:y:2024:i:pb:s1364032123008894.

   Full description at Econpapers || Download paper

8. Dampening energy security-related uncertainties in the United States: The role of green energy-technology investment and operation of transnational corporations. (2024). USMAN, OJONUGWA ; Iorember, Paul Terhemba ; Ozkan, Oktay ; Alola, Andrew Adewale.
   In: Energy.
   RePEc:eee:energy:v:289:y:2024:i:c:s036054422303400x.

   Full description at Econpapers || Download paper

9. Harnessing AI for solar energy: Emergence of transformer models. (2024). Hanif, M F ; Mi, J.
   In: Applied Energy.
   RePEc:eee:appene:v:369:y:2024:i:c:s0306261924009243.

   Full description at Econpapers || Download paper

10. Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. (2024). Halgamuge, Saman ; Perera, Maneesha ; Bandara, Kasun ; de Hoog, Julian ; Senanayake, Damith.
    In: Applied Energy.
    RePEc:eee:appene:v:361:y:2024:i:c:s0306261924003544.

    Full description at Econpapers || Download paper

11. Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application. (2024). Eren, Yavuz ; Turkolu, Selim A ; Erdin, Ozan ; Erkmen, Burcu ; Kuukdemiral, Brahim.
    In: Applied Energy.
    RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001053.

    Full description at Econpapers || Download paper

12. Decomposition prediction fractional-order PID reinforcement learning for short-term smart generation control of integrated energy systems. (2024). Yin, Linfei ; Zheng, DA.
    In: Applied Energy.
    RePEc:eee:appene:v:355:y:2024:i:c:s0306261923016100.

    Full description at Econpapers || Download paper

13. Multi-prediction of electric load and photovoltaic solar power in grid-connected photovoltaic system using state transition method. (2024). Wu, Qiang ; Mao, Lei ; Wang, HU ; Zhang, Heng.
    In: Applied Energy.
    RePEc:eee:appene:v:353:y:2024:i:pb:s0306261923015027.

    Full description at Econpapers || Download paper

14. A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine Integrated with Variational Mode Decomposition Technique. (2023). Kim, Sung Won ; Heddam, Salim ; Kisi, Ozgur ; Alizamir, Meysam ; Ahmed, Kaywan Othman ; Shiri, Jalal ; Fard, Ahmad Fakheri.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:14:p:11275-:d:1197859.

    Full description at Econpapers || Download paper

15. Accurately forecasting solar radiation distribution at both spatial and temporal dimensions simultaneously with fully-convolutional deep neural network model. (2023). Ruan, Zhaohui ; Yuan, Yuan ; Sun, Weiwei ; Tan, Heping.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:184:y:2023:i:c:s1364032123003854.

    Full description at Econpapers || Download paper

16. Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting. (2023). Wei, Zhinong ; Ding, Tao ; Cheng, Lilin ; Liu, Jingxuan ; Zang, Haixiang ; Sun, Guoqiang.
    In: Renewable Energy.
    RePEc:eee:renene:v:209:y:2023:i:c:p:619-631.

    Full description at Econpapers || Download paper

17. Renewable energy forecasting: A self-supervised learning-based transformer variant. (2023). Fu, Yuchen ; Liu, Jiarui.
    In: Energy.
    RePEc:eee:energy:v:284:y:2023:i:c:s0360544223021242.

    Full description at Econpapers || Download paper

18. A multistep short-term solar radiation forecasting model using fully convolutional neural networks and chaotic aquila optimization combining WRF-Solar model results. (2023). Wang, Wenpeng ; Chang, Mingheng ; Ma, Lei ; Duan, Jikai ; Zuo, Hongchao ; Chen, Bolong ; Bai, Yulong.
    In: Energy.
    RePEc:eee:energy:v:271:y:2023:i:c:s0360544223003742.

    Full description at Econpapers || Download paper

19. Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture. (2023). Nakanishi, Yosuke ; Zheng, Peijun ; Liu, Jiang ; Zhou, Heng.
    In: Applied Energy.
    RePEc:eee:appene:v:349:y:2023:i:c:s0306261923009716.

    Full description at Econpapers || Download paper

20. A deep learning framework using multi-feature fusion recurrent neural networks for energy consumption forecasting. (2023). Fang, Lei ; He, Bin.
    In: Applied Energy.
    RePEc:eee:appene:v:348:y:2023:i:c:s0306261923009273.

    Full description at Econpapers || Download paper

21. A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting. (2023). Wei, Zhinong ; Ding, Tao ; Cheng, Lilin ; Liu, Jingxuan ; Zang, Haixiang ; Sun, Guoqiang.
    In: Applied Energy.
    RePEc:eee:appene:v:342:y:2023:i:c:s030626192300524x.

    Full description at Econpapers || Download paper

22. Pulse-diagnosis-inspired multi-feature extraction deep network for short-term electricity load forecasting. (2023). Liang, Yan ; Heng, Jiani ; Wu, Han.
    In: Applied Energy.
    RePEc:eee:appene:v:339:y:2023:i:c:s0306261923003598.

    Full description at Econpapers || Download paper

23. Weighted fully-connected regression networks for one-day-ahead hourly photovoltaic power forecasting. (2023). Cao, Xinghui ; Yin, Linfei ; Liu, Dongduan.
    In: Applied Energy.
    RePEc:eee:appene:v:332:y:2023:i:c:s0306261922017846.

    Full description at Econpapers || Download paper

24. Classification of Electronic Components Based on Convolutional Neural Network Architecture. (2022). Atik, Ipek.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:7:p:2347-:d:777912.

    Full description at Econpapers || Download paper

25. Short-term solar radiation forecasting with a novel image processing-based deep learning approach. (2022). Hocaolu, Fatih Onur ; Akarslan, Emre ; Elik, Ardan Huseyin.
    In: Renewable Energy.
    RePEc:eee:renene:v:200:y:2022:i:c:p:1490-1505.

    Full description at Econpapers || Download paper

26. Coordinated voltage control in unbalanced distribution networks with two-stage distributionally robust chance-constrained receding horizon control. (2022). Zhang, Zhengfa ; Chen, Zhe ; Guo, Yifei ; da Silva, Filipe Faria ; Bak, Claus Leth.
    In: Renewable Energy.
    RePEc:eee:renene:v:198:y:2022:i:c:p:907-915.

    Full description at Econpapers || Download paper

27. Deep learning and statistical methods for short- and long-term solar irradiance forecasting for Islamabad. (2022). Ayaz, Yasar ; Haider, Syed Altan ; Sajid, Muhammad ; Uddin, Emad.
    In: Renewable Energy.
    RePEc:eee:renene:v:198:y:2022:i:c:p:51-60.

    Full description at Econpapers || Download paper

28. Multi-time-step and multi-parameter prediction for real-world proton exchange membrane fuel cell vehicles (PEMFCVs) toward fault prognosis and energy consumption prediction. (2022). Wang, Zhenpo ; Zhang, Zhaosheng ; Liu, Peng ; Zhou, Litao ; Deng, Junjun.
    In: Applied Energy.
    RePEc:eee:appene:v:325:y:2022:i:c:s0306261922009977.

    Full description at Econpapers || Download paper

29. Interval TrendRank method for grid node importance assessment considering new energy. (2022). Huang, Xin ; Su, Qingyu ; Li, Jian ; Chen, Cong.
    In: Applied Energy.
    RePEc:eee:appene:v:324:y:2022:i:c:s0306261922009461.

    Full description at Econpapers || Download paper

Report date: 2025-10-05 10:38:28 || Missing content? Let us know