短期负荷预测对电力系统的经济和安全运行有重要作用随着人工智能技术和高深数学理论的发展,为负荷预测研究开辟了新途径和新方法电力市场竞争机制引入对负荷预测提出新要求各种随机因素对负荷预测的影响尚未取得完善研究方法据此对负荷预测的研究一直是人们研究的热点本文是根据课题组研究工作在总结的基础上重点介绍模糊集理论数据挖掘小波分析混沌理论的负荷预测研究

关键词短期负荷预测智能技术模糊集理论数据挖掘小波分析混沌理论-short-term load forecasts on the power system to the economic and security operations with an important role in artificial intelligence technology and highly few Theories of development, load forecasting for the research opens up new ways and new methods of competition in the electricity market mechanisms to introduce new load forecasting with the various requirements Load factors for prediction of the impact has been no perfect method of load forecast accordingly research has been a hot research This is the point under discussion group study concluded on the basis of focus on the fuzzy set theory wavelet analysis data mining Jimmy Chaos On the load forecast studies Keywords short-term load forecasts intelligence technology fuzzy set theory wavelet analysis data mining Chaos Theory