Psychological insights for incentive-based demand response incorporating battery energy storage systems: A two-loop Stackelberg game approach
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DOI: 10.1016/j.energy.2021.122192
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- Yu, Mengmeng & Hong, Seung Ho, 2017. "Incentive-based demand response considering hierarchical electricity market: A Stackelberg game approach," Applied Energy, Elsevier, vol. 203(C), pages 267-279.
- 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).
- Good, Nicholas, 2019. "Using behavioural economic theory in modelling of demand response," Applied Energy, Elsevier, vol. 239(C), pages 107-116.
- Lu, Qing & Lü, Shuaikang & Leng, Yajun & Zhang, Zhixin, 2020. "Optimal household energy management based on smart residential energy hub considering uncertain behaviors," Energy, Elsevier, vol. 195(C).
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges or peak pricing," Post-Print hal-02088180, HAL.
- Chen, Yongbao & Zhang, Lixin & Xu, Peng & Di Gangi, Alessandra, 2021. "Electricity demand response schemes in China: Pilot study and future outlook," Energy, Elsevier, vol. 224(C).
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges versus prices," Post-Print hal-02088148, HAL.
- Lu, Xiaoxing & Li, Kangping & Xu, Hanchen & Wang, Fei & Zhou, Zhenyu & Zhang, Yagang, 2020. "Fundamentals and business model for resource aggregator of demand response in electricity markets," Energy, Elsevier, vol. 204(C).
- Delgado, Laura & Shealy, Tripp, 2018. "Opportunities for greater energy efficiency in government facilities by aligning decision structures with advances in behavioral science," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3952-3961.
- Sorrell, Steve, 2015. "Reducing energy demand: A review of issues, challenges and approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 74-82.
- Mier, Mathias & Weissbart, Christoph, 2020.
"Power markets in transition: Decarbonization, energy efficiency, and short-term demand response,"
Energy Economics, Elsevier, vol. 86(C).
- Mathias Mier & Christoph Weissbart, 2019. "Power Markets in Transition: Decarbonization, Energy Efficiency, and Short-Term Demand Response," ifo Working Paper Series 284, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Mier, Mathias & Weissbart, Christoph, 2020. "Power markets in transition: Decarbonization, energy efficiency, and short-term demand response," Munich Reprints in Economics 84730, University of Munich, Department of Economics.
- Kahneman, Daniel & Knetsch, Jack L & Thaler, Richard H, 1990. "Experimental Tests of the Endowment Effect and the Coase Theorem," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1325-1348, December.
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges or peak pricing," Post-Print hal-02088189, HAL.
- Stede, Jan & Arnold, Karin & Dufter, Christa & Holtz, Georg & von Roon, Serafin & Richstein, Jörn C., 2020. "The role of aggregators in facilitating industrial demand response: Evidence from Germany," Energy Policy, Elsevier, vol. 147(C).
- Buckley, P. & Llerena, D., 2018. "Demand response as a common pool resource game: Nudges or peak prices," Working Papers 2018-01, Grenoble Applied Economics Laboratory (GAEL).
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges versus prices," Working Papers hal-01704457, HAL.
- Shahryari, E. & Shayeghi, H. & Mohammadi-ivatloo, B. & Moradzadeh, M., 2018. "An improved incentive-based demand response program in day-ahead and intra-day electricity markets," Energy, Elsevier, vol. 155(C), pages 205-214.
- Zhou, Hou Sheng & Passey, Rob & Bruce, Anna & Sproul, Alistair B., 2021. "Aggregated impact of coordinated commercial-scale battery energy storage systems on network peak demand, and financial outcomes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
- Zhang, Lizhi & Kuang, Jiyuan & Sun, Bo & Li, Fan & Zhang, Chenghui, 2020. "A two-stage operation optimization method of integrated energy systems with demand response and energy storage," Energy, Elsevier, vol. 208(C).
- Carmichael, R. & Gross, R. & Hanna, R. & Rhodes, A. & Green, T., 2021. "The Demand Response Technology Cluster: Accelerating UK residential consumer engagement with time-of-use tariffs, electric vehicles and smart meters via digital comparison tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges or peak pricing," Post-Print hal-02088223, HAL.
- Cao, Jing & Dai, Hancheng & Li, Shantong & Guo, Chaoyi & Ho, Mun & Cai, Wenjia & He, Jianwu & Huang, Hai & Li, Jifeng & Liu, Yu & Qian, Haoqi & Wang, Can & Wu, Libo & Zhang, Xiliang, 2021. "The general equilibrium impacts of carbon tax policy in China: A multi-model comparison," Energy Economics, Elsevier, vol. 99(C).
- Penelope Buckley & Daniel Llerena, 2018. "Demand response as a common pool resource game: Nudges or peak pricing," Post-Print hal-02485480, HAL.
- Motlagh, Omid & Berry, Adam & O'Neil, Lachlan, 2019. "Clustering of residential electricity customers using load time series," Applied Energy, Elsevier, vol. 237(C), pages 11-24.
- Sun, Yannan & Hao, Weituo & Chen, Yan & Liu, Bing, 2020. "Data-driven occupant-behavior analytics for residential buildings," Energy, Elsevier, vol. 206(C).
- Jan Stede & Karin Arnold & Christa Dufter & Georg Holtz & Serafin von Roon & Jörn C. Richstein, 2020. "The Role of Aggregators in Facilitating Industrial Demand Response: Evidence from Germany," Discussion Papers of DIW Berlin 1840, DIW Berlin, German Institute for Economic Research.
- Honarmand, Mohammad Esmaeil & Hosseinnezhad, Vahid & Ghazizadeh, Mohammad Sadegh & Wang, Fei & Siano, Pierluigi, 2019. "A peak-load-reduction-based procedure to manage distribution network expansion by applying process-oriented costing of incoming components," Energy, Elsevier, vol. 186(C).
- Gerd Gigerenzer & Reinhard Selten (ed.), 2002. "Bounded Rationality: The Adaptive Toolbox," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262571641, April.
- Rana, Md Masud & Romlie, Mohd Fakhizan & Abdullah, Mohd Faris & Uddin, Moslem & Sarkar, Md Rasel, 2021. "A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system," Energy, Elsevier, vol. 234(C).
- Sirin, Selahattin Murat & Gonul, Mustafa Sinan, 2016. "Behavioral aspects of regulation: A discussion on switching and demand response in Turkish electricity market," Energy Policy, Elsevier, vol. 97(C), pages 591-602.
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- Tang, Hong & Wang, Shengwei, 2023. "Game-theoretic optimization of demand-side flexibility engagement considering the perspectives of different stakeholders and multiple flexibility services," Applied Energy, Elsevier, vol. 332(C).
- Qi Huang & Aihua Jiang & Yu Zeng & Jianan Xu, 2022. "Community Flexible Load Dispatching Model Based on Herd Mentality," Energies, MDPI, vol. 15(13), pages 1-18, June.
- Ma, Siyu & Liu, Hui & Wang, Ni & Huang, Lidong & Su, Jinshuo & Zhao, Teyang, 2024. "Incentive-based integrated demand response with multi-energy time-varying carbon emission factors," Applied Energy, Elsevier, vol. 359(C).
- Zheng, Shunlin & Qi, Qi & Sun, Yi & Ai, Xin, 2023. "Integrated demand response considering substitute effect and time-varying response characteristics under incomplete information," Applied Energy, Elsevier, vol. 333(C).
- Dewangan, Chaman Lal & Vijayan, Vineeth & Shukla, Devesh & Chakrabarti, S. & Singh, S.N. & Sharma, Ankush & Hossain, Md. Alamgir, 2023. "An improved decentralized scheme for incentive-based demand response from residential customers," Energy, Elsevier, vol. 284(C).
- Liu, Zhengguang & Guo, Zhiling & Chen, Qi & Song, Chenchen & Shang, Wenlong & Yuan, Meng & Zhang, Haoran, 2023. "A review of data-driven smart building-integrated photovoltaic systems: Challenges and objectives," Energy, Elsevier, vol. 263(PE).
- Liu, Di & Qin, Zhaoming & Hua, Haochen & Ding, Yi & Cao, Junwei, 2023. "Incremental incentive mechanism design for diversified consumers in demand response," Applied Energy, Elsevier, vol. 329(C).
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Keywords
Incentive-based demand response; Behavioral economics; Psychological factors; Diversified response resources; Two-loop Stackelberg game; Hierarchical electricity market;All these keywords.
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