... a comprehensive comparison of clustering techniques, including k-means, Gaussian mixture models (GMM), hierarchical clustering, density-based spatial clustering of applications with noise (DBSCAN), and agglomerative clustering, aimed at enhancing solar irradiance prediction. Leveraging historical climate data...

... the combination of ventilation and shading is sufficient to achieve comfort through passive natural conditioning strategies. While solar radiation harvesting strategies, Sn, have a potential of 66.4% (46.6% by passive solar heating, 9.3% by auxiliary heating, and 10.5% in comfort by the use of direct solar...

... were determined for passive solar as the heating source and ventilation as the cooling source in 11 US climate zones. (Sharp, M.K., 2012, “Indoor Comfort Achieved Exclusively from Ambient Sources Across US Climates,” ASME J. Sol. Energy Eng. 143 , (6), p. 061005.) It was noted that in hot climates...

... the grid during on-peak hours, while maintaining PV panel efficiency in terms of the amount of solar radiation received. In this article, we present a framework that identifies the ideal location of PV panels on residential rooftops. Our framework combines energy and environmental simulation, parametric...

... by improving heat balances by using efficient building envelope technologies, passive systems, and demand side management strategies. In this study, we explore city-scale solar photovoltaic (PV) planning integrating information on climate, building parameters and energy models, and electrical system...