నైరూప్య

Study of Load Forecasting Techniques using Fuzzy Logic

Ashwini Tale, Arvind Singh Gusain, Jyotirmoy Baguli, Rubina Sheikh,Altaf Badar

In today’s world, load forecasting is an important part of planning in power system for developing countries, to utilise power more efficiently. In developing countries like India, Ethiopia, Ghana, large amount of power is wasted due to inaccurate generation, transmission, and distribution. It is due to lack of accuracy in forecasting the daily load. Forecasting of electricity demand is a fundamental process for planning periodical operations and future load growth in the electricity sector. Thus, accurate load forecasting plays a vital role in reducing the generation cost and optimising the spinning reserve capacity. Various authors have conducted research on the analysis of load forecasting and methods to improve the accuracy and efficiency in prediction. This paper presents a review of research and development in load forecasting methods for improving the forecasted error using fuzzy logic. The accuracy of the prediction model constructed using fuzzy logic is better than the forecasting models based on classical prediction methods.