Forecasting sector-wise electricity consumption for India using various regression models
IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad
View Archive Info| Field | Value | |
| Title |
Forecasting sector-wise electricity consumption
for India using various regression models
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| Creator |
Sakhare, D.K.
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| Subject |
Calibration Cell
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| Description |
Electricity is an important and one of the most domi�nant energy sources used in the world. It governs a
major share in the Indian as well as world economy.
Thus, forecasting its consumption can be useful in bet�ter planning of its future production and supply. In
the present study, electricity consumption in seven dif�ferent sectors, namely industry, domestic, agriculture,
commercial, traction and railways, others along with
total electricity consumed is forecasted using regres�sion analysis. The study uses four regression model�ling approaches to forecast electricity consumption by
sectors in India. These are linear, logarithmic, power
and exponential regression models. The accuracy of
the models is tested using R2
(coefficient of determina�tion) and MAPE (mean absolute percentage error)
values. The model having the highest R2
and lowest
MAPE value is selected for better accuracy results.
The result/forecast is then compared with the availa�ble data published by the Central Electricity Authority,
Government of India.
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| Publisher |
Indian Academy of Sciences
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| Date |
2021-08
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| Type |
Article
PeerReviewed |
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| Identifier |
Sakhare, D.K. (2021) Forecasting sector-wise electricity consumption for India using various regression models. Current Science, 121 (3). pp. 365-371. ISSN 0011-3891
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| Relation |
http://cimfr.csircentral.net/2628/
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