기상변수를 이용한 도서지역 전력수요 예측 모형의 적합성에 관한 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김영은 | - |
dc.contributor.author | 조용성 | - |
dc.contributor.author | 김경남 | - |
dc.date.accessioned | 2021-09-03T12:39:25Z | - |
dc.date.available | 2021-09-03T12:39:25Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1738-3935 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/85552 | - |
dc.description.abstract | Long and short-term load demand forecasting are of great importance in the process of electricity policy formulation. Inparticular, load forecasting in an energy-independence island is essential for an appropriate investment in off-grid electrical powersystems using renewable energy sources. The purpose of this study was to evaluate the performance of three models in forecasting theelectricity load demand in an island area: the multiple regression model, ARIMA model, and Reg-ARIMA model, which is thecombined model of the two preceding ones. Using the Root Mean Square Error (RMSE) and Mean Absolute Percentage Error(MAPE) as a forecasting accuracy criterion and comparing the predicted and real values of the three islands in 2015, the studyconcluded that the combined method is a more appropriate model. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | 한국신·재생에너지학회 | - |
dc.title | 기상변수를 이용한 도서지역 전력수요 예측 모형의 적합성에 관한 연구 | - |
dc.title.alternative | A Study on the Suitability of Load Demand Forecasting Models for Island Area Using Weather Variables | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 조용성 | - |
dc.contributor.affiliatedAuthor | 김경남 | - |
dc.identifier.bibliographicCitation | 신재생에너지, v.13, no.2, pp.84 - 93 | - |
dc.relation.isPartOf | 신재생에너지 | - |
dc.citation.title | 신재생에너지 | - |
dc.citation.volume | 13 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 84 | - |
dc.citation.endPage | 93 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002231163 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Load demand forecasting | - |
dc.subject.keywordAuthor | ARIMA modelling | - |
dc.subject.keywordAuthor | Multiple regression model | - |
dc.subject.keywordAuthor | Regression-ARIMA mode | - |
dc.subject.keywordAuthor | Energy-independence island | - |
dc.subject.keywordAuthor | 전력 수요 예측 | - |
dc.subject.keywordAuthor | ARIMA 모델링 | - |
dc.subject.keywordAuthor | 다중 회귀 모형 | - |
dc.subject.keywordAuthor | 회귀-ARIMA 모형 | - |
dc.subject.keywordAuthor | 에너지자립섬 | - |
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