Short Term Load Forecasting on Individual Distribution load using S-ARIMA

نویسندگان

  • Seongbae Kong
  • Minseok Jang
  • Rakkyung Ko
  • Hyeonjin Kim
  • Juyoung Jeong
چکیده

The electric power load forecasting is critical for stable electric power system supply. In this paper, a seasonal ARIMA model was used to effectively forecast power load data characterized using periodicity. A numerical example reveals that the seasonal ARIMA model effectively forecast periodic power load.

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تاریخ انتشار 2015