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Game-Theory based dynamic pricing strategies for demand side management in smart grids

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  1. Xu, Bo & Wang, Jiexin & Guo, Mengyuan & Lu, Jiayu & Li, Gehui & Han, Liang, 2021. "A hybrid demand response mechanism based on real-time incentive and real-time pricing," Energy, Elsevier, vol. 231(C).
  2. Tsao, Yu-Chung & Thanh, Vo-Van & Lu, Jye-Chyi, 2019. "Multiobjective robust fuzzy stochastic approach for sustainable smart grid design," Energy, Elsevier, vol. 176(C), pages 929-939.
  3. Sajjad Ali & Imran Khan & Sadaqat Jan & Ghulam Hafeez, 2021. "An Optimization Based Power Usage Scheduling Strategy Using Photovoltaic-Battery System for Demand-Side Management in Smart Grid," Energies, MDPI, vol. 14(8), pages 1-29, April.
  4. Lee, Hyun-Suk, 2024. "Automated tariff design for energy supply–demand matching based on Bayesian optimization: Technical framework and policy implications," Energy Policy, Elsevier, vol. 188(C).
  5. Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
  6. Sarker, Eity & Seyedmahmoudian, Mehdi & Jamei, Elmira & Horan, Ben & Stojcevski, Alex, 2020. "Optimal management of home loads with renewable energy integration and demand response strategy," Energy, Elsevier, vol. 210(C).
  7. Rajabzadeh, Hamed & Babazadeh, Reza, 2022. "A game-theoretic approach for power pricing in a resilient supply chain considering a dual channel biorefining structure and the hybrid power plant," Renewable Energy, Elsevier, vol. 198(C), pages 1082-1094.
  8. Gokula Manikandan Senthil Kumar & Sunliang Cao, 2021. "State-of-the-Art Review of Positive Energy Building and Community Systems," Energies, MDPI, vol. 14(16), pages 1-54, August.
  9. Meng, Fanlin & Ma, Qian & Liu, Zixu & Zeng, Xiao-Jun, 2023. "Multiple dynamic pricing for demand response with adaptive clustering-based customer segmentation in smart grids," Applied Energy, Elsevier, vol. 333(C).
  10. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies," Energy, Elsevier, vol. 167(C), pages 92-105.
  11. Adlband, Nahid & Biguesh, Mehrzad & Mohammadi, Mohammad, 2020. "A privacy-preserving and aggregate load controlling decentralized energy consumption scheduling scheme," Energy, Elsevier, vol. 198(C).
  12. Nathalie Gardes & Pascal Frucquet & David Carassus & Didier Chabaud & Pierre Marin, 2021. "Smart Building for Smart City : les enjeux de l'adoption du BIM et de l'IoT," Post-Print hal-03552453, HAL.
  13. Bo wang & Nana Deng & Wenhui Zhao & Zhaohua Wang, 2022. "Residential power demand side management optimization based on fine-grained mixed frequency data," Annals of Operations Research, Springer, vol. 316(1), pages 603-622, September.
  14. Huang, Pei & Sun, Yongjun, 2019. "A collaborative demand control of nearly zero energy buildings in response to dynamic pricing for performance improvements at cluster level," Energy, Elsevier, vol. 174(C), pages 911-921.
  15. Cui, Weiwei & Li, Lin, 2018. "A game-theoretic approach to optimize the Time-of-Use pricing considering customer behaviors," International Journal of Production Economics, Elsevier, vol. 201(C), pages 75-88.
  16. Su, Huai & Chi, Lixun & Zio, Enrico & Li, Zhenlin & Fan, Lin & Yang, Zhe & Liu, Zhe & Zhang, Jinjun, 2021. "An integrated, systematic data-driven supply-demand side management method for smart integrated energy systems," Energy, Elsevier, vol. 235(C).
  17. Abedrabboh, Khaled & Al-Fagih, Luluwah, 2023. "Applications of mechanism design in market-based demand-side management: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
  18. Khaled Abedrabboh & Luluwah Al-Fagih, 2021. "Applications of Mechanism Design in Market-Based Demand-Side Management," Papers 2106.14659, arXiv.org.
  19. Charwand, Mansour & Gitizadeh, Mohsen, 2018. "Optimal TOU tariff design using robust intuitionistic fuzzy divergence based thresholding," Energy, Elsevier, vol. 147(C), pages 655-662.
  20. Setya Budi, Rizki Firmansyah & Sarjiya, & Hadi, Sasongko Pramono, 2022. "Indonesia's deregulated generation expansion planning model based on mixed strategy game theory model for determining the optimal power purchase agreement," Energy, Elsevier, vol. 260(C).
  21. Fang, Fang & Yu, Songyuan & Liu, Mingxi, 2020. "An improved Shapley value-based profit allocation method for CHP-VPP," Energy, Elsevier, vol. 213(C).
  22. Jiang, Qian & Mu, Yunfei & Jia, Hongjie & Cao, Yan & Wang, Zibo & Wei, Wei & Hou, Kai & Yu, Xiaodan, 2022. "A Stackelberg Game-based planning approach for integrated community energy system considering multiple participants," Energy, Elsevier, vol. 258(C).
  23. Fahad R. Albogamy & Sajjad Ali Khan & Ghulam Hafeez & Sadia Murawwat & Sheraz Khan & Syed Irtaza Haider & Abdul Basit & Klaus-Dieter Thoben, 2022. "Real-Time Energy Management and Load Scheduling with Renewable Energy Integration in Smart Grid," Sustainability, MDPI, vol. 14(3), pages 1-28, February.
  24. Zhang, Li & Gao, Yan & Zhu, Hongbo & Tao, Li, 2022. "Bi-level stochastic real-time pricing model in multi-energy generation system: A reinforcement learning approach," Energy, Elsevier, vol. 239(PA).
  25. Chen, Sheng & Sun, Guoqiang & Wei, Zhinong & Wang, Dan, 2020. "Dynamic pricing in electricity and natural gas distribution networks: An EPEC model," Energy, Elsevier, vol. 207(C).
  26. Lu, Tianguang & Ai, Qian & Wang, Zhaoyu, 2018. "Interactive game vector: A stochastic operation-based pricing mechanism for smart energy systems with coupled-microgrids," Applied Energy, Elsevier, vol. 212(C), pages 1462-1475.
  27. Yang, Weixin & Yang, Yunpeng & Chen, Hongmin, 2022. "How to stimulate Chinese energy companies to comply with emission regulations? Evidence from four-party evolutionary game analysis," Energy, Elsevier, vol. 258(C).
  28. Aviad Navon & Gefen Ben Yosef & Ram Machlev & Shmuel Shapira & Nilanjan Roy Chowdhury & Juri Belikov & Ariel Orda & Yoash Levron, 2020. "Applications of Game Theory to Design and Operation of Modern Power Systems: A Comprehensive Review," Energies, MDPI, vol. 13(15), pages 1-35, August.
  29. Tsao, Yu-Chung & Ai, Ho Thi Thu & Lu, Jye-Chyi & Wang, Chao, 2024. "Game theory-based electricity pricing decisions incorporating prosumer energy preferences and renewable portfolio standard," Energy, Elsevier, vol. 306(C).
  30. Li, Bo & Li, Xu & Su, Qingyu, 2022. "A system and game strategy for the isolated island electric-gas deeply coupled energy network," Applied Energy, Elsevier, vol. 306(PA).
  31. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Safarzadeh, Soroush, 2022. "Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach," Energy, Elsevier, vol. 255(C).
  32. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Khosroshahi, Hossein, 2023. "A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions," Energy, Elsevier, vol. 282(C).
  33. Wang, Xinlin & Wang, Hao & Ahn, Sung-Hoon, 2021. "Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania," Energy, Elsevier, vol. 224(C).
  34. Dai, Yeming & Sun, Xilian & Qi, Yao & Leng, Mingming, 2021. "A real-time, personalized consumption-based pricing scheme for the consumptions of traditional and renewable energies," Renewable Energy, Elsevier, vol. 180(C), pages 452-466.
  35. Shu, Kangan & Ai, Xiaomeng & Fang, Jiakun & Yao, Wei & Chen, Zhe & He, Haibo & Wen, Jinyu, 2019. "Real-time subsidy based robust scheduling of the integrated power and gas system," Applied Energy, Elsevier, vol. 236(C), pages 1158-1167.
  36. Wen, Lulu & Zhou, Kaile & Li, Jun & Wang, Shanyong, 2020. "Modified deep learning and reinforcement learning for an incentive-based demand response model," Energy, Elsevier, vol. 205(C).
  37. Ferrari, Lorenzo & Esposito, Fabio & Becciani, Michele & Ferrara, Giovanni & Magnani, Sandro & Andreini, Mirko & Bellissima, Alessandro & Cantù, Matteo & Petretto, Giacomo & Pentolini, Massimo, 2017. "Development of an optimization algorithm for the energy management of an industrial Smart User," Applied Energy, Elsevier, vol. 208(C), pages 1468-1486.
  38. Cai, Qiran & Xu, Qingyang & Qing, Jing & Shi, Gang & Liang, Qiao-Mei, 2022. "Promoting wind and photovoltaics renewable energy integration through demand response: Dynamic pricing mechanism design and economic analysis for smart residential communities," Energy, Elsevier, vol. 261(PB).
  39. Lu, Qing & Lü, Shuaikang & Leng, Yajun, 2019. "A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response," Energy, Elsevier, vol. 175(C), pages 456-470.
  40. Ioannis Panapakidis & Nikolaos Asimopoulos & Athanasios Dagoumas & Georgios C. Christoforidis, 2017. "An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures," Energies, MDPI, vol. 10(9), pages 1-42, September.
  41. Freier, Julia & von Loessl, Victor, 2022. "Dynamic electricity tariffs: Designing reasonable pricing schemes for private households," Energy Economics, Elsevier, vol. 112(C).
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