G06 : An Investigation into the Predicted Efficiency of Simple vs. Complex Machine Learning Solar Tracking


Students Sara Rojas
School HCDSB - Holy Trinity Secondary School - Oakville
Level Intermediate 9/10 - Grade 10
Group Group 8 - Engineering and Computing II
Abstract The purpose of this project is to investigate whether simpler and more cost-effective machine learning–based solar tracking systems can achieve energy efficiencies comparable to more complex tracking models, with the goal of making solar energy solutions more affordable and practical for Canadian farmers.