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Grey-Box Energy Modelling of Energy-Efficient House Using Hybrid Optimization Technique of Genetic Algorithms (GA) and Quasi-Newton Algorithms with Markov Chain Monte Carlo Uncertainty Distribution

Understanding energy demands and costs is important for policy makers and the energy sector, especially in the context of residential heating and cooling systems. To estimate the thermal demand of a residential house, a grey-box modelling method with a resistance–capacitance (RC) analogy was impleme...

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Auteurs principaux: Gulsun Demirezen, Alan S. Fung, Aidan Brookson
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2024-11-01
Collection:Energies
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Accès en ligne:https://www.mdpi.com/1996-1073/17/23/5941
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