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 weeken d and special day features. The proposed neural network, is used to modify the load curve of a similar day by using temperature information. The suita bility of the proposed approach is illustrated through an application to ac tual load data of Okinawa Electric Power Company in Japan.