Related projects
Discover more projects across a range of sectors and discipline — from AI to cleantech to social innovation.
Advanced sensor control implementations for energy optimization in commercial buildings using machine learning and data visualisation applied to building automation systems
The objective of the research is to develop a system leveraging data captured for commercial building management systems (BMS) to take decisions in to reduce energy consumption without affecting comfort. The idea is to showcase how intelligent control can be implemented in existing BMS to optimize energy consumption. The project is divided in three parts: data visualization and insight (discovery of potential avenues for the improvement of energy optimization), time-series prediction (prediction future energy consumption), and control (acting on said predictions).
Faculty Supervisor:
Jeremy Cooperstock
Student:
Marc Demers
Partner:
Maxen
Discipline:
Engineering - computer / electrical
Sector:
University:
McGill University
Program:
Accelerate
Current openings
Find the perfect opportunity to put your academic skills and knowledge into practice!
Find Projects
International
Load More
International
Load More
