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학술대회 Demand Response Operation Method on Energy Big Data Platform
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저자
구태연, 박완기, 최훈
발행일
201807
출처
International Conference on Ubiquitous and Future Networks (ICUFN) 2018, pp.823-825
DOI
https://dx.doi.org/10.1109/ICUFN.2018.8436753
협약과제
18PH1400, 커뮤니티에너지공급(CES) 시설 기반 분산자원 활용 마이크로그리드 BM 개발 및 실증, 박완기
초록
Energy management system should predict the future energy use and generation amount for the optimal operation of ESS based on the measured energy amount, renewable energy production amount and energy usage, and establish the operation plan. In this paper, we describe the technologies that can be saved through the analysis of big data of energy resources for renewable energy and present Demand Response Operation Method through big data analysis. Through this technology, it is possible to find new information by discovering patterns and correlations hidden in data, and to respond appropriately when issuing DR.
KSP 제안 키워드
Analysis of big data, Big Data analysis, Big data platform, Energy management system, Energy use, Future energy, Operation method, Operation plan, Optimal operation, Renewable energy production, demand response(DR)