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Subject

Load Forecasting and ESS Scheduling Considering the Load Pattern of Building
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부하 패턴을 고려한 건물의 전력수요예측 및 ESS 운용

논문 기본 정보

Type
Academic journal
Author
Hye-Mi Hwang (한국에너지기술연구원) Jong-Bae Park (건국대학교) Sung-Hee Lee (E3 EXPERT) Jae Hyung Roh (건국대학교) Yong-Gi Park (건국대학교)
Journal
The Korean Institute of Electrical Engineers The transactions of The Korean Institute of Electrical Engineers Vol.65 No.9 KCI Accredited Journals SCOPUS
Published
2016.9
Pages
1,486 - 1,492 (7page)

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Load Forecasting and ESS Scheduling Considering the Load Pattern of Building
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Abstract· Keywords

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This study presents the electrical load forecasting and error correction method using a real building load pattern, and the way to manage the energy storage system with forecasting results for economical load operation. To make a unique pattern of target load, we performed the Hierarchical clustering that is one of the data mining techniques, defined load pattern(group) and forecasted the demand load according to the clustering result of electrical load through the previous study. In this paper, we propose the new reference demand for improving a predictive accuracy of load demand forecasting. In addition we study an error correction method for response of load events in demand load forecasting, and verify the effects of proposed correction method through EMS scheduling simulation with load forecasting correction.

Contents

Abstract
1. 서론
2. 계층적 군집분석을 활용한 부하패턴별 수요예측
3. 수요예측 결과분석 및 참조패턴 수정
4. 예측 오차보정 및 ESS 운영을 통한 예측보정의 영향
3. 결론
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UCI(KEPA) : I410-ECN-0101-2017-560-001134943