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What is Energy Load Prediction with Regression Models about?

This project focuses on predicting heating and cooling loads of buildings using regression-based machine learning models to enhance energy efficiency in building design. It employs a synthetic dataset and various regression algorithms, with Random Forest Regressor identified as the best-performing model. The findings emphasize the significant impact of building characteristics on energy consumption and provide insights for sustainable building design.

Author

piyushsurpatne02

Language

EN