Real-time Urban Energy Prediction | PhD Research
This project leverages advanced machine learning techniques to predict urban energy demand in real-time, using a variety of urban and building features. By developing a parametric model, we simulate different urban forms and mixed-use buildings, capturing essential design parameters that influence energy consumption. Through a series of iterative simulations, we create a robust dataset that […]