Multivariate Regression for Electricity Load Forecasting in Power Systems
Ezhil Joy,
Ramesh Bansal,
Chaouki Ghenai
et al.
Abstract:The development of smart grids in power system necessitates the need for forecasting the electricity load for the safe and economic functioning of electricity markets. A case study has been carried out considering a city's electricity load data using Multivariate Regression model. An input database of the model is generated taking into account of peak and off-peak hours based on maximum and minimum load data obtained from the utility operator. The characteristics of the electricity load over the whole year hav… Show more
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