Residential building energy consumption estimation: A novel ensemble and hybrid machine learning approach

Investigating Cooling Load Estimation via Hybrid Models Based on the Radial Basis Function

“…As building designs become more intricate and demand greater sustainability performance, the utilization of building simulation tools will become unavoidable. Building energy simulation models have undergone over four decades of evolution, with most development endeavors concentrating on refining the model's thermal processes during this time [1]. Four key elements significantly influence a building's energy consumption: (1) its physical attributes, encompassing factors like location, orientation, and type; (2) the installed equipment responsible for maintaining the desired indoor conditions, such as heating, ventilation, air-conditioning systems, electricity, or hot water; (3) external conditions and meteorological variables like temperature, humidity, and solar radiation; and (4) occupant behavior and the associated consequences of their presence [2].…”