Traditional building energy modeling requires specialized expertise and significant time and resources, often making it less cost-effective, particularly for smaller projects. AI and machine learning (ML) techniques address these challenges by improving both the accuracy and speed of energy modeling. AI can help process large datasets that include building geometry, material properties, climate data, occupancy behavior and historical energy use, to identify patterns and generate insights. ML algorithms can predict energy consumption by training on past data, helping designers estimate…
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