Short Term Load Forecasting Methods

Authors

  • Avijit Awasthi, Charchil Gupta

Abstract

This paper, presents the basic concepts and techniques of short term load forecasting. The factors influencing the forecasting results have conjointly been mentioned. The various applications are found at the generation end of the electricity. Scheduling of maintenance and reducing the generation cost are the main applications. The purpose of paper is focusing on the different methods of short term load forecasting and the factors influencing them as well as comparing the ARIMA model with Artificial Neural Network (ANN).

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Published

2020-05-10

Issue

Section

Articles