A Short-Term Load Forecasting Technique and Analysis Using Artificial Neural Network

  Shah Jainik Gopalkumar,  Sweta Shah

This paper proposes a neural network approach for forecasting short-team loads. The basic objective of short team load forecasting is to predict the near future load. This paper uses techniques for artificial neural network base short team load forecasting. Historical load data were obtained from SLDC (State Load Dispatch Centre) Gotri Baroda, Gujarat and weather data were obtained from online weather site for the same period to train neural network. It is trained using two layer feed forward neural network and tested error was calculated as MAPE (Mean Absolute Percentage Error) and with error of about 0.9592% this paper was successfully carried out

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Unique Identification Number - IJEDR1504164
Page Number(s) - 932-938
Pubished in - Volume 3 | Issue 3 | December 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Shah Jainik Gopalkumar,  Sweta Shah,   "A Short-Term Load Forecasting Technique and Analysis Using Artificial Neural Network", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.932-938, December 2015, Available at :http://www.ijedr.org/papers/IJEDR1504164.pdf