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학술대회 Self-Learning Mechanism for Prediction of Energy Consumption and Generation
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저자
구태연, 박완기, 최훈
발행일
201802
출처
International Conference on Advanced Communications Technology (ICACT) 2018, pp.359-362
DOI
https://dx.doi.org/10.23919/ICACT.2018.8323756
협약과제
17PH1400, 커뮤니티에너지공급(CES) 시설 기반 분산자원 활용 마이크로그리드 BM 개발 및 실증, 박완기
초록
This paper relates to a technique for predicting energy usage and power generation through self-enhancement learning using a big data platform. The 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. For this. ESS charge / discharge scheduling is established through an optimal control engine. and the service is managed and supervised by the administrator.
KSP 제안 키워드
Big data platform, Energy management system, Energy use, Future energy, Operation plan, Optimal operation, Power generation, Renewable energy production, Self-enhancement, Self-learning mechanism, energy consumption