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:	Engineering Mathematics Agricultural and Biological Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018978994&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46665
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-46665
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spelling	th-cmuir.6653943832-466652018-04-25T07:25:33Z Forecasting of daily load curve on monthly peak day using load research data and harmonics model Somboon Nuchprayoon Engineering Mathematics Agricultural and Biological Sciences © 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. 2018-04-25T06:59:18Z 2018-04-25T06:59:18Z 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/6653943832/46665
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Engineering Mathematics Agricultural and Biological Sciences
spellingShingle	Engineering Mathematics Agricultural and Biological Sciences 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/6653943832/46665
_version_	1681422916613308416

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

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