Estimating residential building energy consumption using overhead imagery
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DOI: 10.1016/j.apenergy.2020.116018
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- Mayer, Kevin & Haas, Lukas & Huang, Tianyuan & Bernabé-Moreno, Juan & Rajagopal, Ram & Fischer, Martin, 2023. "Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data," Applied Energy, Elsevier, vol. 333(C).
- Huang, Maoquan & Tang, G.H. & Si, Qiaoling & Pu, Jin Huan & Sun, Qie & Du, Mu, 2023. "Plasmonic aerogel window with structural coloration for energy-efficient and sustainable building envelopes," Renewable Energy, Elsevier, vol. 216(C).
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- Yuan, Jianjuan & Huang, Ke & Lu, Shilei & Zhang, Ji & Han, Zhao & Zhou, Zhihua, 2022. "Analysis of influencing factors on heat consumption of large residential buildings with different occupancy rates-Tianjin case study," Energy, Elsevier, vol. 238(PC).
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Keywords
Buildings; Energy demand; Energy consumption; Convolutional neural network; Random forest;All these keywords.
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