Research on the Short-term Electric Load Forecasting of the Variable Artificial Structure Neural Network Based on Web

摘要：

Because a short-term electric load forecasting tendency has a strong randomness, the determination of mathematical models is difficult. However, when ANN is used to electric load forecasting sometimes the figures are not convergent, sometimes they are so easy to fall into partial minimal point. Therefore through VANN (Variable Structure Artificial Neural Network) model we can get the optimal network, the optimal approximation and optimal forecasting results. Take the short-term electric load forecasting for example, the forecasting accuracy is improved greatly. It meets the practical needs.

关键词： Electric Load Forecasting ANN Web

作者: Qian Zhang Tongna Liu

作者单位: Department of Economic Management, North China Electric Power University, Baoding, Hebei, P. R. China, 071003

会议类型: 国际会议

会议名称: 第13届海峡两岸信息管理发展与策略学术研讨会(13th Cross-Strait Academic Conference on Development & Strategies of Internation Management)

会议地点: 北京

会议语种:英文

页码: 511-516

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）