Building energy usage prediction

Smit Jitesh


Supervised by Yuhua Li; Moderated by Helen R Phillips

Prediction of building energy consumption is important to electricity distribution, management and environment. This project will develop a machine learning model to predict energy usage based on historic usage rates and observed weather. A relevant project can be found at https://www.kaggle.com/c/ashrae-energy-prediction/overview.

This project requires good programming skills (preferably in Python), knowledge of machine learning (regression).

Initial Plan (07/02/2022) [Zip Archive]

Final Report (27/05/2022) [Zip Archive]

Publication Form