DocumentCode
677881
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
fYear
2013
fDate
13-16 Oct. 2013
Firstpage
1312
Lastpage
1316
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location
Manchester
Type
conf
DOI
10.1109/SMC.2013.227
Filename
6721980
Link To Document