Simulated building energy demand biases resulting from the use of representative weather stations
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DOI: 10.1016/j.apenergy.2017.08.244
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- Mendes, Vítor Freitas & Cruz, Alexandre Santana & Gomes, Adriano Pinto & Mendes, Júlia Castro, 2024. "A systematic review of methods for evaluating the thermal performance of buildings through energy simulations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Mata, Érika & Wanemark, Joel & Nik, Vahid M. & Sasic Kalagasidis, Angela, 2019. "Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities," Applied Energy, Elsevier, vol. 242(C), pages 1022-1035.
- Omarov, Bekarys & Memon, Shazim Ali & Kim, Jong, 2023. "A novel approach to develop climate classification based on degree days and building energy performance," Energy, Elsevier, vol. 267(C).
- Chen, Yibo & Wu, Jianzhong, 2018. "Distribution patterns of energy consumed in classified public buildings through the data mining process," Applied Energy, Elsevier, vol. 226(C), pages 240-251.
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Keywords
Building energy demand; Representative cities; BEND; EnergyPlus; Weather;All these keywords.
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