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2020 | OriginalPaper | Chapter

Electricity Demand Forecasting Using Regression Techniques

Authors : Tanveer Ahmad Wani, Mohd Shiraz

Published in: Advances in Energy and Built Environment

Publisher: Springer Singapore

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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.

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Metadata
Title
Electricity Demand Forecasting Using Regression Techniques
Authors
Tanveer Ahmad Wani
Mohd Shiraz
Copyright Year
2020
Publisher
Springer Singapore
Book
Advances in Energy and Built Environment

Print ISBN: 978-981-13-7556-9

Electronic ISBN: 978-981-13-7557-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-13-7557-6_9