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학술대회 Energy Peak Reduction Mechanism with Prediction of Demand and PV Generation on big data
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저자
구태연, 박완기, 최훈
발행일
201801
출처
International Conference on Big Data and Smart Computing (BigComp) 2018, pp.713-716
DOI
https://dx.doi.org/10.1109/BigComp.2018.00133
협약과제
17PH2100, 신재생 비율 및 그리드 특성에 따른 그리드 안정화 기술용 ESS 최적 연계 기술 개발 및 실증, 박완기
초록
Efficient energy management services are possible by providing energy efficiency improvement, energy sharing and trading services through interconnection and integration of energy supply-transmission-utilization energy systems of devices connected to the Internet. For efficient energy information collection to reduce energy costs, future energy production and usage needs to be predicted based on information gathered from independently operated energy devices. For this, this paper shows Energy Peak Reduction Mechanism with Prediction of Demand and PV Generation on big data system.
KSP 제안 키워드
Big Data System, Efficient energy, Energy Information, Energy Sharing, Energy devices, Energy efficiency improvement, Energy production, Energy supply, Energy system, Future energy, Management services