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Energy optimization for regional buildings based on distributed reinforcement learning

Bibliographic Data

ID21229326
AuthorsYude Qin (0000-0002-3443-2130, Moscow Power Engineering Institute), Ji Ke (0000-0002-2643-9893, Chang'an University), Biao Wang (0000-0002-8655-6258, Chang'an University, corresponding author), Gennady Fedorovich Filaretov
Year2022
Volume78
Pages103625
Publication date2022-03-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2021.103625
OpenAlexW4200161745
LanguageEN
Citations received3
References cited29

Energy consumption · Reinforcement learning · Scalability · Sorting · Building Energy and Comfort Optimization · Computer Science · Energy Efficiency and Management · Engineering · Smart Grid Energy Management · Artificial Intelligence

  • Next-generation energy systems for sustainable smart cities

    Open Access•Yassine Himeur, Mariam Elnour et al.•Sustainable Cities and Society•2022

  • Optimizing mixed-use district designs in hot climates

    Open Access•Jonathan Natanian•Sustainable Cities and Society•2023

  • Deep reinforcement learning for fuel cost optimization in district heating

    Open Access•Jifei Deng, Miro Eklund et al.•Sustainable Cities and Society•2023

  • Energy demands of buildings in the framework of climate change

    Open Access•Virgilio Ciancio, Ferdinando Salata et al.•Sustainable Cities and Society•2020

  • Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities

    Open Access•José R Vázquez-Canteli, Stepan Ulyanin et al.•Sustainable Cities and Society•2019

Citations per year0.75
Citation span2022 - 2023 (2)
Highly citedNo

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