Electric load forecasting for northern Vietnam, using an artificial neural network

Abstract

AbstractThis paper employs a feed‐forward neural network with a back‐propagation algorithm for the short‐term electric load forecasting of daily peak (valley) loads and hourly loads in the northern areas of Vietnam. A large set of data on peak loads, valley loads, hourly loads and temperatures was used to train and calibrate the artificial neural network (ANN). The calibrated network was used for load forecasting. The mean percentage errors for the peak load, valley load, one‐hour‐ahead hourly load and 24‐hour‐ahead hourly load were −1.47%, −3.29%, −2.64% and −4.39%, respectively. These results compare well with similar studies.