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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Conference Proceeding |
| 出版: |
2018
|
| 主題: | |
| 在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85018978994&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/57089 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| id |
th-cmuir.6653943832-57089 |
|---|---|
| record_format |
dspace |
| 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 |