Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms | ||
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Soonho Hwangbo, KiJeon Nam, SungKu Heo, ChangKyoo Yoo*, Hydrogen-based self-sustaining integrated renewable electricity network (HySIREN) using a supply-demand forecasting model and deep-learning algorithms, Energy Conversion and Management (ISSN: 0196-8904, SCIE, IF=5.58, Top 3% journal – THERMODYNAMICS: Rank 2 journal, DOI:), Elsevier, 185(4), pp. 353-367 (2019.4) (Ack:2017R1E1A1A03070713) |
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이전글 | Optimal management of a hybrid renewable energy system coupled with a membrane bioreactor using enviro-economic and power pinch analyses for sustainable climate change adaption | |
다음글 | Flexible real-time ventilation design in a subway station accommodating the various outdoor PM10 air quality from climate change variation |