Modification method to deal with the accumulation effects for summer daily electric load forecasting

摘要

Due to the summer heat, electric load is sometimes influenced by the accumulation effect: the load is not only affected by the present temperature, but also affected by the continuous high-temperature in the last a few days. This paper proposes a method to deal with the accumulation effect. In the proposed method, the temperature variable used in the forecasting model is modified as a function of present and historical temperatures. To enhance the predicting power of the modified temperature, genetic-algorithm (GA) is adopted to get the optimal parameters of the modification function. The testing results show that the modification of the temperature can improve the accuracy of summer load forecasting. (C) 2015 Elsevier Ltd. All rights reserved.