Simulation and Thermo-Energy Analysis of Building Types in the Dominican Republic to Evaluate and Introduce Energy Efficiency in the Envelope
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- Cellura, Maurizio & Guarino, Francesco & Longo, Sonia & Mistretta, Marina, 2017. "Modeling the energy and environmental life cycle of buildings: A co-simulation approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 733-742.
- Eguía Oller, Pablo & Alonso Rodríguez, José María & Saavedra González, Ángeles & Arce Fariña, Elena & Granada Álvarez, Enrique, 2018. "Improving the calibration of building simulation with interpolated weather datasets," Renewable Energy, Elsevier, vol. 122(C), pages 608-618.
- Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2019. "Data fusion in predicting internal heat gains for office buildings through a deep learning approach," Applied Energy, Elsevier, vol. 240(C), pages 386-398.
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- Alberto Barbaresi & Mattia Ceccarelli & Giulia Menichetti & Daniele Torreggiani & Patrizia Tassinari & Marco Bovo, 2022. "Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need," Energies, MDPI, vol. 15(4), pages 1-16, February.
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Keywords
energy simulation; energy monitoring; glazing; infiltrations; thermal comfort; air conditioning;All these keywords.
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