Suchun Fan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Suchun Fan has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Lai Zhou
School of Future Technology, Guangzhou Polytechnic University, No. 1342 Shiliang Road, Panyu District, Guangzhou 511483, China
1 shared publication - Pan Qi
School of Intelligent Automobile, Guangzhou Polytechnic University, Guangzhou 511483, China
1 shared publication - Qinhao Li
School of Intelligent Automobile, Guangzhou Polytechnic University, Guangzhou 511483, China
1 shared publication - Zhongwen Wang
School of Intelligent Automobile, Guangzhou Polytechnic University, Guangzhou 511483, China
1 shared publication
Latest Publications
- Open Access
A Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles
The integration of renewable energy and rising electricity demand strain system flexibility. While price-based demand response (PBDR) improves flexibility through pricing signals, its efficacy hinges critically on accurate consumer modeling. Recognizing this pivotal role, this paper provides a comprehensive review of consumer models in PBDR and their applications to electric vehicles (EVs). First, a unified conceptual framework is presented, delineating the energy, information and financial flows among the system operator (SO), load aggregators (LAs), and end-users, and highlighting the central position of consumer modeling. Second, existing modeling approaches are systematically classified into four categories, namely rule-based, optimization-based, data-driven, and hybrid, to facilitate the selection of appropriate models by researchers and stakeholders for diverse scenarios. Furthermore, the application and adaptation of these models to EVs are critically analyzed, accounting for unique vehicular constraints. Subsequently, a systematic summary of the key characteristics and existing research gaps is provided. Finally, key directions for future research are proposed accordingly, aimed at incorporating bounded rationality into behavioral models, developing individualized consumer modeling coupled with user-specific dynamic pricing, and extending consumer modeling to residential multi-energy prosumers in integrated energy systems.
Open AccessA Comprehensive Review of Consumer Models in Price-Based Demand Response and Their Applications to Electric Vehicles
The integration of renewable energy and rising electricity demand strain system flexibility. While price-based demand response (PBDR) improves flexibility through pricing signals, its efficacy hinges critically on accurate consumer modeling. Recognizing this pivotal role, this paper provides a comprehensive review of consumer models in PBDR and their applications to electric vehicles (EVs). First, a unified conceptual framework is presented, delineating the energy, information and financial flows among the system operator (SO), load aggregators (LAs), and end-users, and highlighting the central position of consumer modeling. Second, existing modeling approaches are systematically classified into four categories, namely rule-based, optimization-based, data-driven, and hybrid, to facilitate the selection of appropriate models by researchers and stakeholders for diverse scenarios. Furthermore, the application and adaptation of these models to EVs are critically analyzed, accounting for unique vehicular constraints. Subsequently, a systematic summary of the key characteristics and existing research gaps is provided. Finally, key directions for future research are proposed accordingly, aimed at incorporating bounded rationality into behavioral models, developing individualized consumer modeling coupled with user-specific dynamic pricing, and extending consumer modeling to residential multi-energy prosumers in integrated energy systems.