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Electricity Demand Forecasting Using Regression Techniques
Abstract Accurate demand forecasting is very important for electric utilities in a competitive environment created by the electric industry deregulation. By using regression analysis, we have analyzed the electricity demand forecast of all-India demand data. Forecast is compared with partial end-use technique. Multiple regression method has been used for forecasting electricity demand by selecting various combinations of independent variables such as Net State Domestic Product (NSDP), Sector-wise Domestic Savings Household sector, Consumers, Connected Load, etc. It was found that sector-wise Net Domestic Savings Household sector was very effective for ascertaining the future electricity demand in the domestic sector in the country.
Electricity Demand Forecasting Using Regression Techniques
Abstract Accurate demand forecasting is very important for electric utilities in a competitive environment created by the electric industry deregulation. By using regression analysis, we have analyzed the electricity demand forecast of all-India demand data. Forecast is compared with partial end-use technique. Multiple regression method has been used for forecasting electricity demand by selecting various combinations of independent variables such as Net State Domestic Product (NSDP), Sector-wise Domestic Savings Household sector, Consumers, Connected Load, etc. It was found that sector-wise Net Domestic Savings Household sector was very effective for ascertaining the future electricity demand in the domestic sector in the country.
Electricity Demand Forecasting Using Regression Techniques
Wani, Tanveer Ahmad (author) / Shiraz, Mohd (author)
2019-06-30
11 pages
Article/Chapter (Book)
Electronic Resource
English