The Research of Short-term Electricity Price Intelligent Forecast System Based on Multi-Agent
The short-term electricity price forecast can not be accomplished by only one single forecast method or model and manual proactively participation is utmost important. An intelligent forecasting system built in three basic models, combination model, and expert model is proposed. Through hierarchical analyzing of the agentarchitecture and using the IDEF1 method, the overall architecture of the forecast system based on multi-agentwas constructed. Based on the composition of multi-agent system architecture and knowledge base,a forecast work process based on multi-agent was established. The simulation result shows that the intelligent forecast system provides a strong adaptability and the average forecast error of the system drop from 6.45％ to 5.44％ compared with single models.
Multi-agent forecast of electricity price electric power market fuzzy evaluation
Wei Jiang Zuzhi Shen Hong Zhang Fuzhong Wang Weibin Ding
School of Management, Zhejiang University Hangzhou, 310058, China
国际会议
杭州
英文
528-532
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）