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ASHRAE Great Energy Predictor III

Applied Machine Learning

2024-2025 Spring - Carnegie Mellon University

This project explores machine learning techniques and selected models to predict building energy consumption using open ASHRAE Great Energy Predictor III dataset.

 

By analyzing historical meter readings, weather data, and building characteristics, and feature engineering, I developed models to estimate energy usage efficiently.

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GitHub Repository

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