The error correction algorithm based on the radial basis function network is proposed as a novel approach to daily electric peak load forecasting. The historical load and weather data for period (2014-2016) are used to train and evaluate for the validation of the proposed approach. Simulation results are compared with those of the feed-forward network and show that this proposed approach can be applied to forecast the daily electric peak load accurately.

Radial basis function network,Error correction algorithm,Daily Peak load forecasting