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Electricity Demand Forecasting Using Regression Techniques

  • Tanveer Ahmad WaniEmail author
  • Mohd Shiraz
Conference paper
  • 206 Downloads
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 36)

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.

Keywords

Forecasting Load Electricity 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of PhysicsNoida International UniversityGreater NoidaIndia
  2. 2.Department of Mechanical EngineeringNoida International UniversityGreater NoidaIndia

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