Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조병완 | - |
dc.date.accessioned | 2018-03-06T01:33:24Z | - |
dc.date.available | 2018-03-06T01:33:24Z | - |
dc.date.issued | 2011-06 | - |
dc.identifier.citation | KOREAN JOURNAL OF CHEMICAL ENGINEERING; JUN 2011, 28 6, p1331-p1339, 9p. | en_US |
dc.identifier.issn | 0256-1115 | - |
dc.identifier.issn | 1975-7220 | - |
dc.identifier.uri | http://link.springer.com/article/10.1007%2Fs11814-010-0517-8 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/42815 | - |
dc.description.abstract | The electricity supply industry is being restructured worldwide into a competitive market structure in which electricity is produced by generators, transmitted by transmission companies, and distributed by suppliers according to new trading agreements. In this market, system marginal price (SMP) plays a very important role. Obviously, an accurate prediction would benefit all market participants involved. The SMP profile is a typical time series and, to some extent, similar to the load profile. In this study, an SMP forecasting model is developed based on load demand and supply as well as past SMP data. The proposed forecasting model is compared with NN method and wavelet combined with NN scheme. Due to the different life style during weekdays and weekend, we distinguish comparisons between weekdays and weekends in summer, autumn and winter. For weekend forecasting, the NN method exhibits better forecasting performance than other methods. During weekdays, the proposed SMP forecasting method shows the best forecasting performance among other methods. | en_US |
dc.description.sponsorship | This work was sponsored by the Ministry of Knowledge Economy, Republic of Korea, as a part of the research project titled “Constitution of energy network using District heating energy” (Project No: 2007-E-ID25-P-02-0-000). The authors wish to thank them for their support. | en_US |
dc.language.iso | en | en_US |
dc.publisher | KOREAN INST CHEM ENGINEERS+, 5F 34-1 5-GA, ANAM-DONG, SEONGBUK-GU, SEOUL 135-075, SOUTH KOREA | en_US |
dc.subject | Neural Network (NN) | en_US |
dc.subject | Wavelet Transform | en_US |
dc.subject | System Marginal Prices | en_US |
dc.subject | Price Forecasting | en_US |
dc.title | Assessment of three forecasting methods for system marginal prices | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 28 | - |
dc.identifier.doi | 10.1007/s11814-010-0517-8 | - |
dc.relation.page | 1331-1339 | - |
dc.relation.journal | KOREAN JOURNAL OF CHEMICAL ENGINEERING | - |
dc.contributor.googleauthor | Lee, Tae Hwan | - |
dc.contributor.googleauthor | Lee, Kee Jun | - |
dc.contributor.googleauthor | Yeo, Yeong Koo | - |
dc.contributor.googleauthor | Jo, Byung Wan | - |
dc.contributor.googleauthor | Kim, Lae Hyun | - |
dc.relation.code | 2011206218 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING | - |
dc.identifier.pid | bwcho | - |
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