create a website

Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint. (2024). Ma, Zhongjing ; Zhou, Yanting ; Shi, Xingyu ; Zou, Suli.
In: Energy.
RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031262.

Full description at Econpapers || Download paper

Cited: 9

Citations received by this document

Cites: 42

References cited by this document

Cocites: 60

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

  1. An Overview of Recent AI Applications in Combined Heat and Power Systems. (2025). Safari, Ashkan ; Oshnoei, Arman.
    In: Energies.
    RePEc:gam:jeners:v:18:y:2025:i:11:p:2891-:d:1668979.

    Full description at Econpapers || Download paper

  2. Evaluation and mitigation of carbon emissions in energy industry. (2025). Bu, Siqi ; Ma, Runzhuo.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:212:y:2025:i:c:s1364032125000024.

    Full description at Econpapers || Download paper

  3. An advanced performance-based method for soft and abrupt fault diagnosis of industrial gas turbines. (2025). Gou, Lin-Feng ; Zhao, Junjie ; Tsoutsanis, Elias ; Zhang, Wei-Gang ; Chen, Yu-Zhi.
    In: Energy.
    RePEc:eee:energy:v:321:y:2025:i:c:s036054422501000x.

    Full description at Econpapers || Download paper

  4. Collaborative energy management of interconnected regional integrated energy systems considering spatio-temporal characteristics. (2024). Yang, Qiang ; Chang, Weiguang ; Zhao, Wanbing.
    In: Renewable Energy.
    RePEc:eee:renene:v:235:y:2024:i:c:s0960148124014319.

    Full description at Econpapers || Download paper

  5. Bilevel low-carbon coordinated operation of integrated energy systems considering dynamic tiered carbon pricing methodology. (2024). Sun, Hongbin ; Huang, Yuxi ; Xue, Yixun ; Chang, Xinyue ; Wu, Dongge.
    In: Energy.
    RePEc:eee:energy:v:310:y:2024:i:c:s0360544224030275.

    Full description at Econpapers || Download paper

  6. Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE. (2024). Ma, Yongzhi ; Cui, Shuhui ; Lyu, Shouping ; Wang, Kai.
    In: Energy.
    RePEc:eee:energy:v:307:y:2024:i:c:s0360544224025404.

    Full description at Econpapers || Download paper

  7. A novel two-stage multi-objective dispatch model for a distributed hybrid CCHP system considering source-load fluctuations mitigation. (2024). Li, Yuxin ; Zhou, Yuan ; Wang, Jiangjiang ; Wei, Changqi.
    In: Energy.
    RePEc:eee:energy:v:300:y:2024:i:c:s0360544224013306.

    Full description at Econpapers || Download paper

  8. Machine learning-assisted effective thermal management of rotor-stator systems. (2024). Choi, Seungyeong ; Bang, Minho ; Heo, Jeonghun ; Park, Hee Seung.
    In: Energy.
    RePEc:eee:energy:v:299:y:2024:i:c:s036054422401301x.

    Full description at Econpapers || Download paper

  9. Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage and renewable sources. (2024). Pirouzi, Sasan ; Liang, Hejun.
    In: Energy.
    RePEc:eee:energy:v:293:y:2024:i:c:s0360544224005176.

    Full description at Econpapers || Download paper

References

References cited by this document

  1. Aghdam, F.H. ; Ghaemi, S. ; Kalantari, N.T. Evaluation of loss minimization on the energy management of multi-microgrid based smart distribution network in the presence of emission constraints and clean productions. 2018 J Clean Prod. 196 185-201
    Paper not yet in RePEc: Add citation now
  2. Alabi, T.M. ; Lawrence, N.P. ; Lu, L. ; Yang, Z. ; Gopaluni, R.B. Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system. 2023 Appl Energy. 333 -

  3. Alomoush, M.I. Microgrid combined power-heat economic-emission dispatch considering stochastic renewable energy resources, power purchase and emission tax. 2019 Energy Convers Manage. 200 -
    Paper not yet in RePEc: Add citation now
  4. Anvari-Moghaddam, A. ; Rahimi-Kian, A. ; Mirian, M.S. ; Guerrero, J.M. A multi-agent based energy management solution for integrated buildings and microgrid system. 2017 Appl Energy. 203 41-56

  5. Brockman, G. ; Cheung, V. ; Pettersson, L. ; Schneider, J. ; Schulman, J. ; Tang, J. Openai gym. 2016 :
    Paper not yet in RePEc: Add citation now
  6. Chen, T. ; Bu, S. ; Liu, X. ; Kang, J. ; Yu, F.R. ; Han, Z. Peer-to-peer energy trading and energy conversion in interconnected multi-energy microgrids using multi-agent deep reinforcement learning. 2021 IEEE Trans Smart Grid. 13 715-727
    Paper not yet in RePEc: Add citation now
  7. Chen, X. ; Kang, C. ; O’Malley, M. ; Xia, Q. ; Bai, J. ; Liu, C. Increasing the flexibility of combined heat and power for wind power integration in China: Modeling and implications. 2014 IEEE Trans Power Syst. 30 1848-1857
    Paper not yet in RePEc: Add citation now
  8. Chung, H.-M. ; Maharjan, S. ; Zhang, Y. ; Eliassen, F. Distributed deep reinforcement learning for intelligent load scheduling in residential smart grids. 2020 IEEE Trans Ind Inf. 17 2752-2763
    Paper not yet in RePEc: Add citation now
  9. Gharibpour, H. ; Aminifar, F. ; Rahmati, I. ; Keshavarz, A. Dual variable decomposition to discriminate the cost imposed by inflexible units in electricity markets. 2021 Appl Energy. 287 -

  10. Guo, C. ; Wang, X. ; Zheng, Y. ; Zhang, F. Optimal energy management of multi-microgrids connected to distribution system based on deep reinforcement learning. 2021 Int J Electr Power Energy Syst. 131 -
    Paper not yet in RePEc: Add citation now
  11. Hou, H. ; Ge, X. ; Chen, Y. ; Tang, J. ; Hou, T. ; Fang, R. Model-free dynamic management strategy for low-carbon home energy based on deep reinforcement learning accommodating stochastic environments. 2023 Energy Build. 278 -
    Paper not yet in RePEc: Add citation now
  12. Javadi, M.S. ; Nezhad, A.E. ; Jordehi, A.R. ; Gough, M. ; Santos, S.F. ; Catalão, J.P. Transactive energy framework in multi-carrier energy hubs: A fully decentralized model. 2022 Energy. 238 -

  13. Li, J. ; Yu, T. ; Zhang, X. Coordinated load frequency control of multi-area integrated energy system using multi-agent deep reinforcement learning. 2022 Appl Energy. 306 -

  14. Li, Y. ; Bu, F. ; Li, Y. ; Long, C. Optimal scheduling of island integrated energy systems considering multi-uncertainties and hydrothermal simultaneous transmission: A deep reinforcement learning approach. 2023 Appl Energy. 333 -

  15. Li, Y. ; Sun, Y. ; Liu, J. ; Liu, C. ; Zhang, F. A data driven robust optimization model for scheduling near-zero carbon emission power plant considering the wind power output uncertainties and electricity-carbon market. 2023 Energy. -

  16. Lowe, R. ; Wu, Y.I. ; Tamar, A. ; Harb, J. ; Pieter Abbeel, O. ; Mordatch, I. Multi-agent actor-critic for mixed cooperative-competitive environments. 2017 En : Advances in neural information processing systems. Vol. 30. :
    Paper not yet in RePEc: Add citation now
  17. Lu, R. ; Li, Y.-C. ; Li, Y. ; Jiang, J. ; Ding, Y. Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management. 2020 Appl Energy. 276 -

  18. Niu, Z. ; Zhong, G. ; Yu, H. A review on the attention mechanism of deep learning. 2021 Neurocomputing. 452 48-62
    Paper not yet in RePEc: Add citation now
  19. Park, K. ; Moon, I. Multi-agent deep reinforcement learning approach for EV charging scheduling in a smart grid. 2022 Appl Energy. 328 -

  20. Qiu, D. ; Dong, Z. ; Zhang, X. ; Wang, Y. ; Strbac, G. Safe reinforcement learning for real-time automatic control in a smart energy-hub. 2022 Appl Energy. 309 -

  21. Qiu, D. ; Xue, J. ; Zhang, T. ; Wang, J. ; Sun, M. Federated reinforcement learning for smart building joint peer-to-peer energy and carbon allowance trading. 2023 Appl Energy. 333 -

  22. Qiu, D. ; Ye, Y. ; Papadaskalopoulos, D. ; Strbac, G. Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach. 2021 Appl Energy. 292 -

  23. Rezaei, N. ; Pezhmani, Y. ; Khazali, A. Economic-environmental risk-averse optimal heat and power energy management of a grid-connected multi microgrid system considering demand response and bidding strategy. 2022 Energy. 240 -

  24. Ruan, Y. ; Liang, Z. ; Qian, F. ; Meng, H. ; Gao, Y. Operation strategy optimization of combined cooling, heating, and power systems with energy storage and renewable energy based on deep reinforcement learning. 2023 J Build Eng. 65 -
    Paper not yet in RePEc: Add citation now
  25. Sun, Q. ; Wang, X. ; Liu, Z. ; Mirsaeidi, S. ; He, J. ; Pei, W. Multi-agent energy management optimization for integrated energy systems under the energy and carbon co-trading market. 2022 Appl Energy. 324 -

  26. Wang, Y. ; Huang, F. ; Tao, S. ; Ma, Y. ; Ma, Y. ; Liu, L. Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy. 2022 Appl Energy. 306 -

  27. Wang, Y. ; Qiu, D. ; Wang, Y. ; Sun, M. ; Strbac, G. Graph learning-based voltage regulation in distribution networks with multi-microgrids. 2023 IEEE Trans Power Syst. -
    Paper not yet in RePEc: Add citation now
  28. Wu, X. ; Tian, Z. ; Guo, J. A review of the theoretical research and practical progress of carbon neutrality. 2022 Sustain Opera Comput. 3 54-66
    Paper not yet in RePEc: Add citation now
  29. Yan, L. ; Chen, X. ; Chen, Y. ; Wen, J. A hierarchical deep reinforcement learning-based community energy trading scheme for a neighborhood of smart households. 2022 IEEE Trans Smart Grid. 13 4747-4758
    Paper not yet in RePEc: Add citation now
  30. Yang, T. ; Zhao, L. ; Li, W. ; Zomaya, A.Y. Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning. 2021 Energy. 235 -
    Paper not yet in RePEc: Add citation now
  31. Ye, Y. ; Tang, Y. ; Wang, H. ; Zhang, X.-P. ; Strbac, G. A scalable privacy-preserving multi-agent deep reinforcement learning approach for large-scale peer-to-peer transactive energy trading. 2021 IEEE Trans Smart Grid. 12 5185-5200
    Paper not yet in RePEc: Add citation now
  32. Yi, Z. ; Luo, Y. ; Westover, T. ; Katikaneni, S. ; Ponkiya, B. ; Sah, S. Deep reinforcement learning based optimization for a tightly coupled nuclear renewable integrated energy system. 2022 Appl Energy. 328 -

  33. Yi, Z. ; Xu, Y. ; Hu, J. ; Chow, M.-Y. ; Sun, H. Distributed, neurodynamic-based approach for economic dispatch in an integrated energy system. 2019 IEEE Trans Ind Inf. 16 2245-2257
    Paper not yet in RePEc: Add citation now
  34. Zhang, B. ; Hu, W. ; Ghias, A.M. ; Xu, X. ; Chen, Z. Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization. 2023 Energy Convers Manage. 277 -
    Paper not yet in RePEc: Add citation now
  35. Zhang, B. ; Hu, W. ; Ghias, A.M. ; Xu, X. ; Chen, Z. Multi-agent deep reinforcement learning-based coordination control for grid-aware multi-buildings. 2022 Appl Energy. 328 -

  36. Zhang, C. ; Kuppannagari, S.R. ; Xiong, C. ; Kannan, R. ; Prasanna, V.K. A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling. 2019 En : Proceedings of the international conference on internet of things design and implementation. :
    Paper not yet in RePEc: Add citation now
  37. Zhang, G. ; Hu, W. ; Cao, D. ; Zhang, Z. ; Huang, Q. ; Chen, Z. A multi-agent deep reinforcement learning approach enabled distributed energy management schedule for the coordinate control of multi-energy hub with gas, electricity, and freshwater. 2022 Energy Convers Manage. 255 -
    Paper not yet in RePEc: Add citation now
  38. Zhang, Y. ; Zhu, N. ; Zhao, X. ; Luo, Z. ; Hu, P. ; Lei, F. Energy performance and enviroeconomic analysis of a novel PV-MCHP-TEG system. 2023 Energy. 274 -

  39. Zhong, X. ; Zhong, W. ; Liu, Y. ; Yang, C. ; Xie, S. Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations. 2022 Energy. 246 -

  40. Zhou, X. ; Ma, Z. ; Zou, S. ; Zhang, J. Consensus-based distributed economic dispatch for multi micro energy grid systems under coupled carbon emissions. 2022 Appl Energy. 324 -

  41. Zhu, D. ; Yang, B. ; Liu, Y. ; Wang, Z. ; Ma, K. ; Guan, X. Energy management based on multi-agent deep reinforcement learning for a multi-energy industrial park. 2022 Appl Energy. 311 -

  42. Zhu, J. ; Hu, W. ; Xu, X. ; Liu, H. ; Pan, L. ; Fan, H. Optimal scheduling of a wind energy dominated distribution network via a deep reinforcement learning approach. 2022 Renew Energy. 201 792-801

Cocites

Documents in RePEc which have cited the same bibliography

  1. Peer-to-peer multi-energy trading in a decentralized network: A review. (2025). Tariq, Abdul Haseeb ; Amin, Uzma.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:208:y:2025:i:c:s1364032124006956.

    Full description at Econpapers || Download paper

  2. Multi-timescale optimization of integrated energy system with diversified utilization of hydrogen energy under the coupling of green certificate and carbon trading. (2024). Chen, Y ; Xian, R C ; Jiao, P H ; Wang, L L ; Liu, H G.
    In: Renewable Energy.
    RePEc:eee:renene:v:228:y:2024:i:c:s0960148124006657.

    Full description at Econpapers || Download paper

  3. Carbon-oriented energy system planning using forest carbon sink. (2024). Li, Xueping ; Guo, Xiaoqiang ; Zhang, Jiangfeng ; Liu, Yujie ; Lu, Zhigang.
    In: Energy.
    RePEc:eee:energy:v:309:y:2024:i:c:s0360544224027841.

    Full description at Econpapers || Download paper

  4. Real-time automatic control of multi-energy system for smart district community: A coupling ensemble prediction model and safe deep reinforcement learning. (2024). Yang, Zaiyue ; Alabi, Tobi Michael ; Lu, Lin.
    In: Energy.
    RePEc:eee:energy:v:304:y:2024:i:c:s0360544224019832.

    Full description at Econpapers || Download paper

  5. Research on multi-time scale integrated energy scheduling optimization considering carbon constraints. (2024). Wang, YU ; Zhu, Xiaoxun ; Gao, Xiaoxia ; Bao, Linlin ; Xue, Jinfei ; Han, Zhonghe ; Li, Yuxuan.
    In: Energy.
    RePEc:eee:energy:v:302:y:2024:i:c:s0360544224015494.

    Full description at Econpapers || Download paper

  6. Multi-agent optimal scheduling for integrated energy system considering the global carbon emission constraint. (2024). Ma, Zhongjing ; Zhou, Yanting ; Shi, Xingyu ; Zou, Suli.
    In: Energy.
    RePEc:eee:energy:v:288:y:2024:i:c:s0360544223031262.

    Full description at Econpapers || Download paper

  7. Adaptive multi-agent reinforcement learning for flexible resource management in a virtual power plant with dynamic participating multi-energy buildings. (2024). Sun, Mingyang ; Zhang, Liyu ; Wu, Haochi ; Qiu, Dawei.
    In: Applied Energy.
    RePEc:eee:appene:v:374:y:2024:i:c:s0306261924013813.

    Full description at Econpapers || Download paper

  8. Batteries or silos: Optimizing storage capacity in direct air capture plants to maximize renewable energy use. (2024). Schell, Kristen R ; Arwa, Erick O.
    In: Applied Energy.
    RePEc:eee:appene:v:355:y:2024:i:c:s0306261923017099.

    Full description at Econpapers || Download paper

  9. Research on Integrated Energy Distributed Sharing in Distribution Network Considering AC Power Flow and Demand Response. (2023). Bai, Zhiqing ; Shi, Zhihan ; Zhou, Xiaoxiong ; Lv, Xiaodong ; Han, Weisong ; Zhu, Mingxiang ; Zhang, Guangming.
    In: Sustainability.
    RePEc:gam:jsusta:v:15:y:2023:i:22:p:16054-:d:1282367.

    Full description at Econpapers || Download paper

  10. Multi-objective bi-level planning of the integrated energy system considering uncertain user loads and carbon emission during the equipment manufacturing process. (2023). Zheng, Zipeng ; Gu, Wenbo ; Ma, Tao ; Zhao, Naixin.
    In: Renewable Energy.
    RePEc:eee:renene:v:216:y:2023:i:c:s0960148123009849.

    Full description at Econpapers || Download paper

  11. Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods. (2022). Ul, Zain ; Assad, Ussama ; Farooq, Umar ; Sabahat, S ; Khan, Muhammad Zeeshan ; Shehzad, Muhammad Arshad ; Olah, Judit ; Popp, Jozsef ; Kabir, Asif.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:6:p:2003-:d:767532.

    Full description at Econpapers || Download paper

  12. A Hybrid Approach in Design of Building Energy Management System with Smart Readiness Indicator and Building as a Service Concept. (2022). Oadowicz, Andrzej.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:4:p:1432-:d:750586.

    Full description at Econpapers || Download paper

  13. Optimal Operation of Microgrids Comprising Large Building Prosumers and Plug-in Electric Vehicles Integrated into Active Distribution Networks. (2022). Kanellos, Fotios D ; Kyriakou, Dimitra G.
    In: Energies.
    RePEc:gam:jeners:v:15:y:2022:i:17:p:6182-:d:897808.

    Full description at Econpapers || Download paper

  14. Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies. (2022). Ahmadi, Seyed Ehsan ; Marzband, Mousa ; Sedraoui, Khaled ; Sadeghi, Delnia ; Abusorrah, Abdullah.
    In: Energy.
    RePEc:eee:energy:v:245:y:2022:i:c:s0360544222001268.

    Full description at Econpapers || Download paper

  15. Coordinated management of centralized and distributed generation in an integrated energy system using a multi-agent approach. (2022). Stennikov, Valery ; Mayorov, Gleb ; Barakhtenko, Evgeny ; Sokolov, Dmitry ; Zhou, Bin.
    In: Applied Energy.
    RePEc:eee:appene:v:309:y:2022:i:c:s0306261921017086.

    Full description at Econpapers || Download paper

  16. General Aspects, Islanding Detection, and Energy Management in Microgrids: A Review. (2021). Islam, Md Mainul ; Nagrial, Mahmood ; Rizk, Jamal ; Hellany, Ali.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:16:p:9301-:d:617333.

    Full description at Econpapers || Download paper

  17. Multi-Agent Based Optimal Operation of Hybrid Energy Sources Coupled with Demand Response Programs. (2021). Olorunfemi, Tope Roseline ; Nwulu, Nnamdi I.
    In: Sustainability.
    RePEc:gam:jsusta:v:13:y:2021:i:14:p:7756-:d:592601.

    Full description at Econpapers || Download paper

  18. Data-Driven Online Energy Scheduling of a Microgrid Based on Deep Reinforcement Learning. (2021). Ji, Ying ; Wang, Jianhui ; Xu, Jiacan ; Li, Donglin.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:8:p:2120-:d:533598.

    Full description at Econpapers || Download paper

  19. A Multi-Agent Based Optimization Model for Microgrid Operation with Hybrid Method Using Game Theory Strategy. (2021). Kim, Mun-Kyeom ; Lee, Ji-Won.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:3:p:603-:d:486714.

    Full description at Econpapers || Download paper

  20. Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management. (2021). Vasquez, Juan C ; Guerrero, Josep M ; Palacios-Garcia, Emilio J ; Arbab-Zavar, Babak.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:18:p:5610-:d:630687.

    Full description at Econpapers || Download paper

  21. Towards Optimal Management in Microgrids: An Overview. (2021). Garcia, Manuel Perez ; Torres, Jose Luis ; Alvarez, Jose Domingo ; Topa, Alex Omar.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:16:p:5202-:d:619807.

    Full description at Econpapers || Download paper

  22. Integrating Behavioural Aspects in Energy System Modelling—A Review. (2021). Bertsch, Valentin ; Huckebrink, David.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:15:p:4579-:d:603601.

    Full description at Econpapers || Download paper

  23. A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications. (2021). Zheng, Zhixue ; Ali, Sadaqat ; Aillerie, Michel ; Pera, Marie-Cecile ; Sawicki, Jean-Paul ; Hissel, Daniel.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:14:p:4308-:d:596189.

    Full description at Econpapers || Download paper

  24. Reinforcement Learning Based Peer-to-Peer Energy Trade Management Using Community Energy Storage in Local Energy Market. (2021). Kim, Jongwon ; Zang, Hannie.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2021:i:14:p:4131-:d:591038.

    Full description at Econpapers || Download paper

  25. A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings. (2021). Garcia, Rodrigo ; R-Moreno, M. D., ; Aguilar, J ; Garces-Jimenez, A.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:151:y:2021:i:c:s136403212100808x.

    Full description at Econpapers || Download paper

  26. Control and management of a multilevel electric vehicles infrastructure integrated with distributed resources: A comprehensive review. (2021). Ramachandaramurthy, Vigna K ; Solanke, Tirupati U ; Khatua, Pradeep K ; Tan, Kang Miao ; Yong, Jia Ying.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:144:y:2021:i:c:s1364032121003105.

    Full description at Econpapers || Download paper

  27. Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids. (2021). Wang, Shengwei ; Hu, Maomao ; Xiao, FU.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:135:y:2021:i:c:s1364032120305372.

    Full description at Econpapers || Download paper

  28. Innovative power-sharing model for buildings and energy communities. (2021). Rotondo, Sara ; Araneo, Rodolfo ; Martirano, Luigi ; Petrone, Giovanni ; di Lorenzo, Gianfranco.
    In: Renewable Energy.
    RePEc:eee:renene:v:172:y:2021:i:c:p:1087-1102.

    Full description at Econpapers || Download paper

  29. Dynamic energy dispatch strategy for integrated energy system based on improved deep reinforcement learning. (2021). Li, Wei ; Yang, Ting ; Zhao, Liyuan ; Zomaya, Albert Y.
    In: Energy.
    RePEc:eee:energy:v:235:y:2021:i:c:s036054422101625x.

    Full description at Econpapers || Download paper

  30. Quantitative analysis of information interaction in building energy systems based on mutual information. (2021). Deng, Shuai ; Zhong, Shengyuan ; Hussain, Sajjad ; Zhao, Jun ; Zhu, Jiebei ; Li, Hao ; Wang, Xiaoyuan.
    In: Energy.
    RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319745.

    Full description at Econpapers || Download paper

  31. Real-Time interaction of active distribution network and virtual microgrids: Market paradigm and data-driven stakeholder behavior analysis. (2021). Zhu, Ziqing ; Bu, Siqi ; Xia, Shiwei ; Chan, Ka Wing ; Zhou, Bin.
    In: Applied Energy.
    RePEc:eee:appene:v:297:y:2021:i:c:s0306261921005511.

    Full description at Econpapers || Download paper

  32. Scalable coordinated management of peer-to-peer energy trading: A multi-cluster deep reinforcement learning approach. (2021). Ye, Yujian ; Strbac, Goran ; Papadaskalopoulos, Dimitrios ; Qiu, Dawei.
    In: Applied Energy.
    RePEc:eee:appene:v:292:y:2021:i:c:s0306261921004189.

    Full description at Econpapers || Download paper

  33. Double-layer energy management system based on energy sharing cloud for virtual residential microgrid. (2021). Chen, Ziyu ; Luo, Tengyan ; Li, Shenglin ; Zhu, Jizhong.
    In: Applied Energy.
    RePEc:eee:appene:v:282:y:2021:i:pa:s0306261920315154.

    Full description at Econpapers || Download paper

  34. Review of Control and Energy Management Approaches in Micro-Grid Systems. (2020). Ouladsine, Radouane ; el Kamoun, Najib ; Khaidar, Mohammed ; Bakhouya, Mohamed ; Zine-Dine, Khalid ; Elmouatamid, Abdellatif.
    In: Energies.
    RePEc:gam:jeners:v:14:y:2020:i:1:p:168-:d:472763.

    Full description at Econpapers || Download paper

  35. Renewable energy microgrids: Economic evaluation and decision making for government policies to contribute to affordable and clean energy. (2020). Li, Xuran Ivan ; Hsu, Shu-Chien ; Zheng, Saina ; Wang, Richard ; Chen, Jieh-Haur.
    In: Applied Energy.
    RePEc:eee:appene:v:274:y:2020:i:c:s0306261920307996.

    Full description at Econpapers || Download paper

  36. An optimal distributed energy management scheme for solving transactive energy sharing problems in residential microgrids. (2020). Akter, M N ; Haque, M E ; Mahmud, M A ; Ullah, Aman.
    In: Applied Energy.
    RePEc:eee:appene:v:270:y:2020:i:c:s0306261920306450.

    Full description at Econpapers || Download paper

  37. An interval optimization strategy of household multi-energy system considering tolerance degree and integrated demand response. (2020). Su, Yongxin ; Zhou, Yao ; Tan, Mao.
    In: Applied Energy.
    RePEc:eee:appene:v:260:y:2020:i:c:s0306261919318318.

    Full description at Econpapers || Download paper

  38. Real-Time Load Scheduling, Energy Storage Control and Comfort Management for Grid-Connected Solar Integrated Smart Buildings. (2020). Khan, Jamil Yusuf ; Ahmad, Ashfaq.
    In: Applied Energy.
    RePEc:eee:appene:v:259:y:2020:i:c:s0306261919318951.

    Full description at Econpapers || Download paper

  39. Optimal Economic and Emission Dispatch of a Microgrid with a Combined Heat and Power System. (2019). Lu, Zhigang ; Li, Xueping ; Pan, Lili ; He, Liangce ; Zhang, Jiangfeng ; Zhao, Hao.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:4:p:604-:d:205790.

    Full description at Econpapers || Download paper

  40. An Embedded Platform for Testbed Implementation of Multi-Agent System in Building Energy Management System. (2019). Nakhoda, Yusuf Ismail ; Saleh, Choirul ; Soetedjo, Aryuanto.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:19:p:3655-:d:270386.

    Full description at Econpapers || Download paper

  41. The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review. (2019). Ma, Zheng ; Demazeau, Yves ; Schultz, Mette Jessen ; Varbak, Magnus ; Christensen, Kristoffer ; Jorgensen, Bo Norregaard.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:16:p:3200-:d:259353.

    Full description at Econpapers || Download paper

  42. An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm. (2019). Mohammed, Osama A ; Krami, Nissrine ; Hmina, Nabil ; Esfahani, Mohammad Mahmoudian ; Harmouch, Fatima Zahra ; Ebrahim, Ahmed F.
    In: Energies.
    RePEc:gam:jeners:v:12:y:2019:i:15:p:3004-:d:254615.

    Full description at Econpapers || Download paper

  43. Profitability of PV sharing in energy communities: Use cases for different settlement patterns. (2019). Friedl, Werner ; Auer, Hans ; Fina, Bernadette.
    In: Energy.
    RePEc:eee:energy:v:189:y:2019:i:c:s0360544219318432.

    Full description at Econpapers || Download paper

  44. On the application of Home Energy Management Systems for power grid support. (2019). Nguyen, P H ; Nizami, M. S. H., ; Hossain, M J ; Haque, A. N. M. M., .
    In: Energy.
    RePEc:eee:energy:v:188:y:2019:i:c:s0360544219317992.

    Full description at Econpapers || Download paper

  45. A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty. (2019). Rehman, Syed Abdul ; Golpira, Heri.
    In: Energy.
    RePEc:eee:energy:v:170:y:2019:i:c:p:1113-1129.

    Full description at Econpapers || Download paper

  46. Modeling and control of building-integrated microgrids for optimal energy management – A review. (2019). Fontenot, Hannah ; Dong, Bing.
    In: Applied Energy.
    RePEc:eee:appene:v:254:y:2019:i:c:s0306261919313765.

    Full description at Econpapers || Download paper

  47. Welfare-aware strategic demand control in an intelligent market-based framework: Move towards sustainable smart grid. (2019). Tehrani, Mohammad Taheri ; Afshin, Ali Mohammad.
    In: Applied Energy.
    RePEc:eee:appene:v:251:y:2019:i:c:29.

    Full description at Econpapers || Download paper

  48. Regulatory-framework-embedded energy management system for microgrids: The case study of the Spanish self-consumption scheme. (2019). Guerrero, Josep M ; Matas, Jose ; de la Hoz, Jordi ; Martin, Helena ; Alonso, Alex ; Luna, Adriana Carolina ; Vasquez, Juan C.
    In: Applied Energy.
    RePEc:eee:appene:v:251:y:2019:i:c:11.

    Full description at Econpapers || Download paper

  49. A Multi-Agent-Based Optimization Model for Microgrid Operation Using Dynamic Guiding Chaotic Search Particle Swarm Optimization. (2018). Yan, Suli ; Lin, Shuaishuai ; Liu, Jicheng ; Cai, Hua ; Xu, Fangqiu.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:12:p:3286-:d:185378.

    Full description at Econpapers || Download paper

  50. Effect of EV Movement Schedule and Machine Learning-Based Load Forecasting on Electricity Cost of a Single Household. (2018). Arens, Stefan ; von Maydell, Karsten ; Derendorf, Karen ; Schuldt, Frank ; Agert, Carsten.
    In: Energies.
    RePEc:gam:jeners:v:11:y:2018:i:11:p:2913-:d:178353.

    Full description at Econpapers || Download paper

  51. Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations. (2018). Marzband, Mousa ; Savaghebi, Mehdi ; Guerrero, Josep M ; Lightbody, Gordon ; Azarinejadian, Fatemeh ; Pouresmaeil, Edris.
    In: Renewable Energy.
    RePEc:eee:renene:v:126:y:2018:i:c:p:95-106.

    Full description at Econpapers || Download paper

  52. Model predictive control for building loads connected with a residential distribution grid. (2018). Mirakhorli, Amin ; Dong, Bing.
    In: Applied Energy.
    RePEc:eee:appene:v:230:y:2018:i:c:p:627-642.

    Full description at Econpapers || Download paper

  53. The impact of electric vehicle penetration and charging patterns on the management of energy hub – A multi-agent system simulation. (2018). Liu, Yiling ; Xiong, Rui ; Wennersten, Ronald ; Sun, Qie ; Lin, Haiyang.
    In: Applied Energy.
    RePEc:eee:appene:v:230:y:2018:i:c:p:189-206.

    Full description at Econpapers || Download paper

  54. Microgrids energy management systems: A critical review on methods, solutions, and prospects. (2018). Zia, Muhammad Fahad ; Benbouzid, Mohamed ; Elbouchikhi, Elhoussin.
    In: Applied Energy.
    RePEc:eee:appene:v:222:y:2018:i:c:p:1033-1055.

    Full description at Econpapers || Download paper

  55. Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties. (2018). Liu, John ; Huang, Z C ; Nie, S ; Yu, L.
    In: Applied Energy.
    RePEc:eee:appene:v:221:y:2018:i:c:p:249-267.

    Full description at Econpapers || Download paper

  56. Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids. (2018). Kofinas, P ; Vouros, G A ; Dounis, A I.
    In: Applied Energy.
    RePEc:eee:appene:v:219:y:2018:i:c:p:53-67.

    Full description at Econpapers || Download paper

  57. An equitable and efficient energy management approach for a cluster of interconnected price responsive demands. (2018). Yousefi, Reza G ; Rahimiyan, Morteza ; Latify, Mohammad Amin ; Vahabi, Ali Reza.
    In: Applied Energy.
    RePEc:eee:appene:v:219:y:2018:i:c:p:276-289.

    Full description at Econpapers || Download paper

  58. Interactive game vector: A stochastic operation-based pricing mechanism for smart energy systems with coupled-microgrids. (2018). Wang, Zhaoyu ; Lu, Tianguang ; Ai, Qian.
    In: Applied Energy.
    RePEc:eee:appene:v:212:y:2018:i:c:p:1462-1475.

    Full description at Econpapers || Download paper

  59. Risk-based energy management of renewable-based microgrid using information gap decision theory in the presence of peak load management. (2018). Taghizadegan, Navid ; Salehi, Javad ; Mehdizadeh, Ali.
    In: Applied Energy.
    RePEc:eee:appene:v:211:y:2018:i:c:p:617-630.

    Full description at Econpapers || Download paper

  60. Too much cocited documents. This list is not complete

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-09-30 16:12:59 || 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.