Agent-Based Modeling and Neural Network for Residential Customer Demand Response
Systems, Man, and Cybernetics（2013）
摘要
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.
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关键词
agent-base approach,neural network,difference application scenarios,residential customer demand response,decision making,agent-based modeling,agent,canada,demand response,united kingdom,marketing data processing,multi-agent systems,difference application scenario,bottom-up demand response model,top-down demand response model,uk,customer satisfaction,practical load data,residential customer,top-down model,neural nets,residential customer demand,multi agent systems
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