Research And Application On Short-Term Power Load Forecasting Based On Intelligent Control

With the acceleration of power industry marketing process, the accuracy ofshort-term load forecasting (STLF) in power system is directly related to the economicbenefit of industrial department. STLF is a key problem in modern power systemoperation research. In recent years, artificial neural network (ANN) has become one ofthe most popular intelligent forecasting methods, and ANN model is extremely importantto improve the forecasting accuracy, but unfortunately, there is no mature theoryconcerning this problem.The discussion is separated into three main parts in this paper. Firstly,it has made adeep research into ANN modeling problem, then summarized a set of modeling methodand principle;secondly, aiming at the disposal of historic abnormal data, a new methodnamed abnormal-data forcasting adjustment is proposed in this paper, which has beenproved to be more accurate than fashional methods;lastly, this paper designed a STLFsoftware, which has been used in Bameng grid and the result is comparatively satisfying.