A Literature Survey of Load Forecasting Methods and Impact of Different Factors on Load Forecasting
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 2
Abstract
Load forecasting is vitally important for proper functioning of electrical industry. It has many applications including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. Power planning and generation of power according to the demand plays a vital role in the present scenario. A large variety of mathematical methods have been developed for load forecasting. This paper deals with the analysis of various Long Term Load Forecasting, Medium Term Load Forecasting and Short Term Load Forecasting techniques which will help to forecast the power for short period of time and these techniques include Regression Technique, Curve Fitting Technique, and Artificial Neural Network Technique and finally their results are compared in order to determine the suitable technique. Also, a comparative analysis of merits and demerits of different load forecasting technique is done.
Authors and Affiliations
Vikash Kumar, Seema Pal
Keywords
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- EP ID EP23156
- DOI http://doi.org/10.22214/ijraset.2017.2067
- Views 271
- Downloads 5
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