Next-Day Load Curve Forecasting Using Neural Network Based on Similarity
In this paper, we propose a neural network approach for next day load curve forecasting based on similarity. The proposed method has the advantage of dealing with not only the nonlinear part of load curve but also with weekend and special day features. The proposed neural network is used to modify the load curve of a similar day by using temperature information. The suitability of the proposed approach is illustrated through an application to actual load data of Okinawa Electric Power Company in Japan.
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