논문 해외 국제전문학술지(SCI급) Power Management by LSTM Network for Nanogrids
- 학술지 구분 국제전문학술지(SCI급)
- 게재년월 2020-01
- 저자명 Sangkeum Lee(이상금), Luiz Felipe Vecchietti, Hojun Jin(진호준), Junhee Hong(홍준희), Dongsoo Har(하동수)
- 학술지명 IEEE Access
- 발행국가 해외
- 전체저자수 5
- 원문 링크 https://doi.org/10.1109/ACCESS.2020.2969460
홈페이지논문 초록 (Abstract)
Nanogrids can be considered smart grids that are implemented for small-scale buildings, houses, and apartments. A typical power management framework for nanogrids determines the scheduling of operations of electric appliances for each time interval with objectives related to total power consumption and total delay due to scheduling. Such a framework of power management has limitations in accommodating future operating conditions of nanogrids. Taking future outdoor temperature as a future operating condition, a proactive power management for nanogrids is presented in this paper. The goal of proactive power management for nanogrids is to achieve the proper level of indoor temperature in a cost-efficient way, sooner rather than later, by taking into account future outdoor temperature. To achieve this goal, a long short-term memory (LSTM) network is used as the controller. Simulations have been performed to verify the performance of the proposed power management. The results of the simulations demonstrate that living comfort measured in terms of room temperature is enhanced while the overall electricity cost is reduced, mainly due to the ability of the LSTM network to predict the trend of outdoor temperature.