iSEA: IoT-based smartphone energy assistant for prompting energy-aware behaviors in commercial buildings
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DOI: 10.1016/j.apenergy.2020.114892
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Cited by:
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- Adrian Micu & Angela-Eliza Micu & Marius Geru & Alexandru Capatina & Mihaela-Carmen Muntean, 2021. "The Challenge for Energy Saving in Smart Homes: Exploring the Interest for IoT Devices Acquisition in Romania," Energies, MDPI, vol. 14(22), pages 1-12, November.
- Su, Bing & Wang, Shengwei, 2020. "An agent-based distributed real-time optimal control strategy for building HVAC systems for applications in the context of future IoT-based smart sensor networks," Applied Energy, Elsevier, vol. 274(C).
- Ali Karji & Mostafa Namian & Mohammadsoroush Tafazzoli, 2020. "Identifying the Key Barriers to Promote Sustainable Construction in the United States: A Principal Component Analysis," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
- Josimar Reyes-Campos & Giner Alor-Hernández & Isaac Machorro-Cano & José Oscar Olmedo-Aguirre & José Luis Sánchez-Cervantes & Lisbeth Rodríguez-Mazahua, 2021. "Discovery of Resident Behavior Patterns Using Machine Learning Techniques and IoT Paradigm," Mathematics, MDPI, vol. 9(3), pages 1-25, January.
- Karam M. Al-Obaidi & Mohataz Hossain & Nayef A. M. Alduais & Husam S. Al-Duais & Hossein Omrany & Amirhosein Ghaffarianhoseini, 2022. "A Review of Using IoT for Energy Efficient Buildings and Cities: A Built Environment Perspective," Energies, MDPI, vol. 15(16), pages 1-32, August.
- Ma, Jinjin & Yang, Lin & Wang, Donghan & Li, Yiming & Xie, Zuomiao & Lv, Haodong & Woo, Donghyup, 2024. "Digitalization in response to carbon neutrality: Mechanisms, effects and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
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Keywords
Internet of things; Smartphone; Wi-Fi network; Energy-use behavior; Deep learning; Commercial buildings;All these keywords.
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