Forecasting of daily load curve on monthly peak day using load research data and harmonics model

© 2016 IEEE. This work applies a harmonics model to forecast a daily load curve on a monthly peak day. The harmonics model is applied to capture periodic pattern of daily load and to avoid relying on weather-sensitive parameters. The harmonics model is a function of a base load, an hourly load, and...

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Main Author:	Somboon Nuchprayoon
Format:	Conference Proceeding
Published:	2018
Subjects:	Computer Science Engineering Mathematics
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018978994&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57089
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-57089
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spelling	th-cmuir.6653943832-570892018-09-05T03:44:53Z Forecasting of daily load curve on monthly peak day using load research data and harmonics model Somboon Nuchprayoon Computer Science Engineering Mathematics © 2016 IEEE. This work applies a harmonics model to forecast a daily load curve on a monthly peak day. The harmonics model is applied to capture periodic pattern of daily load and to avoid relying on weather-sensitive parameters. The harmonics model is a function of a base load, an hourly load, and a Fourier series. The dataset was obtained from load research data over the year 2008-2012 from the Provincial Electricity Authority of Thailand. It was found that the fifth harmonic model is proper to forecast the load curves on the monthly peak day. The forecasts of different tariff schedules are performed to compare the load patterns of residential, commercial, and industrial customers. 2018-09-05T03:34:55Z 2018-09-05T03:34:55Z 2017-04-05 Conference Proceeding 2-s2.0-85018978994 10.1109/ICCSCE.2016.7893595 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018978994&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57089
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Computer Science Engineering Mathematics
spellingShingle	Computer Science Engineering Mathematics Somboon Nuchprayoon Forecasting of daily load curve on monthly peak day using load research data and harmonics model
description	© 2016 IEEE. This work applies a harmonics model to forecast a daily load curve on a monthly peak day. The harmonics model is applied to capture periodic pattern of daily load and to avoid relying on weather-sensitive parameters. The harmonics model is a function of a base load, an hourly load, and a Fourier series. The dataset was obtained from load research data over the year 2008-2012 from the Provincial Electricity Authority of Thailand. It was found that the fifth harmonic model is proper to forecast the load curves on the monthly peak day. The forecasts of different tariff schedules are performed to compare the load patterns of residential, commercial, and industrial customers.
format	Conference Proceeding
author	Somboon Nuchprayoon
author_facet	Somboon Nuchprayoon
author_sort	Somboon Nuchprayoon
title	Forecasting of daily load curve on monthly peak day using load research data and harmonics model
title_short	Forecasting of daily load curve on monthly peak day using load research data and harmonics model
title_full	Forecasting of daily load curve on monthly peak day using load research data and harmonics model
title_fullStr	Forecasting of daily load curve on monthly peak day using load research data and harmonics model
title_full_unstemmed	Forecasting of daily load curve on monthly peak day using load research data and harmonics model
title_sort	forecasting of daily load curve on monthly peak day using load research data and harmonics model
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018978994&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57089
_version_	1681424813671841792

Forecasting of daily load curve on monthly peak day using load research data and harmonics model

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