Application of Sarima Model in Load Forecasting in Hanoi City

Many countries and researchers are interested in load forecasting due to its significance. The results of load forecasting are an indispensable basis for electricity planning and investment plan for the power system in the future. In addition, short-term load forecasting is also a mandatory require...

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Main Authors: Duong Trung Kien, Phan Dieu Huong, Nguyen Dat Minh
Format: Article
Language:English
Published: EconJournals 2023-05-01
Series:International Journal of Energy Economics and Policy
Subjects:
Online Access:http://www.econjournals.com/index.php/ijeep/article/view/14121
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author Duong Trung Kien
Phan Dieu Huong
Nguyen Dat Minh
author_facet Duong Trung Kien
Phan Dieu Huong
Nguyen Dat Minh
author_sort Duong Trung Kien
collection DOAJ
description Many countries and researchers are interested in load forecasting due to its significance. The results of load forecasting are an indispensable basis for electricity planning and investment plan for the power system in the future. In addition, short-term load forecasting is also a mandatory requirement in proactively developing business and system operation plan of units in power sector. When the SARIMA(p,d,q)(P,D,Q)S model is used for load forecasting in Hanoi, the results ensure forecast accuracy, feasibility of available data as well as the software's ease of use. SARIMA model can also be used in load forecasting in other provinces and cities in Vietnam or used for electricity forecasting. With the research sample from 2019 to 2021, the model SARIMA(0,1,6)(0.1,1)24 and (0,1,7)(0.1,1) 24 are used for short-term load forecasting in term of typical working day and day-off in Hanoi.
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spelling doaj.art-3a9286c26c5643119af2bfdf2f1c24652023-05-19T14:31:45ZengEconJournalsInternational Journal of Energy Economics and Policy2146-45532023-05-0113310.32479/ijeep.14121Application of Sarima Model in Load Forecasting in Hanoi CityDuong Trung Kien0Phan Dieu Huong1Nguyen Dat Minh2Faculty of Energy and Industry Management, Electric Power University, Hanoi, Vietnam,School of Economics and Management, Hanoi University of Science and Technology, Vietnam Faculty of Energy and Industry Management, Electric Power University, Hanoi, Vietnam, Many countries and researchers are interested in load forecasting due to its significance. The results of load forecasting are an indispensable basis for electricity planning and investment plan for the power system in the future. In addition, short-term load forecasting is also a mandatory requirement in proactively developing business and system operation plan of units in power sector. When the SARIMA(p,d,q)(P,D,Q)S model is used for load forecasting in Hanoi, the results ensure forecast accuracy, feasibility of available data as well as the software's ease of use. SARIMA model can also be used in load forecasting in other provinces and cities in Vietnam or used for electricity forecasting. With the research sample from 2019 to 2021, the model SARIMA(0,1,6)(0.1,1)24 and (0,1,7)(0.1,1) 24 are used for short-term load forecasting in term of typical working day and day-off in Hanoi. http://www.econjournals.com/index.php/ijeep/article/view/14121Energy consumption, Load Forecast, model SARIMA.
spellingShingle Duong Trung Kien
Phan Dieu Huong
Nguyen Dat Minh
Application of Sarima Model in Load Forecasting in Hanoi City
International Journal of Energy Economics and Policy
Energy consumption, Load Forecast, model SARIMA.
title Application of Sarima Model in Load Forecasting in Hanoi City
title_full Application of Sarima Model in Load Forecasting in Hanoi City
title_fullStr Application of Sarima Model in Load Forecasting in Hanoi City
title_full_unstemmed Application of Sarima Model in Load Forecasting in Hanoi City
title_short Application of Sarima Model in Load Forecasting in Hanoi City
title_sort application of sarima model in load forecasting in hanoi city
topic Energy consumption, Load Forecast, model SARIMA.
url http://www.econjournals.com/index.php/ijeep/article/view/14121
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AT phandieuhuong applicationofsarimamodelinloadforecastinginhanoicity
AT nguyendatminh applicationofsarimamodelinloadforecastinginhanoicity