Systematic approach to provide building occupants with feedback to reduce energy consumption
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DOI: 10.1016/j.energy.2019.116813
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- Jorge Antunes & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2020. "Information Entropy, Continuous Improvement, and US Energy Performance: A Novel Stochastic-Entropic Analysis for Ideal Solutions (SEA-IS)," Working Papers 2020110, University of Pretoria, Department of Economics.
- Mohsen Ahmadi & Mahsa Soofiabadi & Maryam Nikpour & Hossein Naderi & Lazim Abdullah & Behdad Arandian, 2022. "Developing a Deep Neural Network with Fuzzy Wavelets and Integrating an Inline PSO to Predict Energy Consumption Patterns in Urban Buildings," Mathematics, MDPI, vol. 10(8), pages 1-17, April.
- Gianmarco Fajilla & Marilena De Simone & Luisa F. Cabeza & Luís Bragança, 2020. "Assessment of the Impact of Occupants’ Behavior and Climate Change on Heating and Cooling Energy Needs of Buildings," Energies, MDPI, vol. 13(23), pages 1-18, December.
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- Yuuki Nakano & Hiroki Hondo, 2023. "Narrative or Logical? The Effects of Information Format on Pro-Environmental Behavior," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
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Keywords
Energy use evaluation; Building energy management; Data mining; Occupant behavior;All these keywords.
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