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Article . 2025
License: CC BY
Data sources: ZENODO
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Forecasting The Electricity Consumption by Domestic and Industrial Sector in Nepal

Authors: Timilsina, Arun; Dhakal, Gopal;

Forecasting The Electricity Consumption by Domestic and Industrial Sector in Nepal

Abstract

Forecasting the electricity consumption is crucial for efficient electricity supply management,strategic energy planning as well as policy formulation. This study had aimed to forecast the electricity consumption in Nepal by household and industrial sector by using the ARIMA (Auto Regressive Integrated Moving Average) method. The study incorporates the historical data from 1975 to 2023 A.D. sourced from Nepal Electricity Authority (NEA). and forecast the consumption in both sectors from 2024 to 2033. The study predicts that the sector will continue to experience significant growth in consumption. within the study period the average annual growth rate of consumption in the domestic sector will be 8-9 % while in the industrial sector it will be 10-11%. During the initial years the household sector consumption appears to be higher, but the industrial sector is likely to surpass the domestic sector by 2027.

Keywords

ARIMA Model, Industrial Sector, [SHS] Humanities and Social Sciences, Electricity Consumption, Domestic Sector, Forecasting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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