摘要
Abstract
The shape of the load curve during Spring Festi-val,especially New Year��s Eve in Lianyungang district, and its varying trend and characteristics are analyzed. An adaptive artifi-cial neural network model is proposed for Spring Festival,consider-ing the influence of whether, major event and historical load on the variation of load. This method forecasts the load by selecting week-end which is similar on human body amenity indicator, similar day over the past year, the day before. The results of calculation exam-ples show that this method is effective.关键词
负荷特性/负荷预测/自适应神经网络/节假日Key words
Load characteristics/Load forecasting/adaptive artificial neural network/Spring Festival/New Year s Eve分类
信息技术与安全科学
