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

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  • Subhes C. Bhattacharyya
  • Le Tien Thanh

Abstract

This 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.

Suggested Citation

  • Subhes C. Bhattacharyya & Le Tien Thanh, 2003. "Electric load forecasting for northern Vietnam, using an artificial neural network," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 27(2), pages 159-170, June.
    • Handle: RePEc:bla:opecrv:v:27:y:2003:i:2:p:159-170
    DOI: 10.1111/1468-0076.t01-1-00058
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