Short Term Load Forecasting Using Moving Averages

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Short Term Load Forecasting Using Moving Averages

Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6

Abstract

Electricity is an essential part of our life and without this nothing is possible an accurate and efficient Short term load forecasting plays a vital role for economic operational planning of both regulated power systems and electricity markets. Short term forecasting including energy purchasing and generation, infrastructure development and load switching . A large variety of mathematical methods have been developed for load forecasting. This paper proposed the multiplicative decomposition model and the smoothing techniques model. Forecasting errors of both models are computed and compared. Results show that both time series models can accurately predict the short-term demand.

Authors and Affiliations

Mr. Sandeep Tiwari, Mr. Kamlesh Lahre

Keywords

Short Term load forecasting moving averages exponential smoothing mean Absolute Percentage Error (MAPE)

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EP ID EP24743
DOI -
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