Title :
Agent-Based Modeling and Neural Network for Residential Customer Demand Response
Author :
Fang Yuan Xu ; Xue Wang ; Loi Lei Lai ; Chun Sing Lai
Author_Institution :
State Grid Energy Res. Inst., Beijing, China
Abstract :
In this paper, both bottom-up and top-down models for demand response with agent-base approach and neural networks have been investigated. Simulations have been carried out with practical load data from the UK and Canada. Results show that each approach has its advantages and disadvantages depending on difference application scenarios.
Keywords :
customer satisfaction; marketing data processing; multi-agent systems; neural nets; Canada; UK; United Kingdom; agent-based modeling; bottom-up demand response model; difference application scenarios; neural network; residential customer demand response; top-down demand response model; Artificial neural networks; Biological system modeling; Computational modeling; Home appliances; Load management; Load modeling; Training; Residential customer; agent; decision making; demand response; neural network;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.227
