Development of prediction models in smart buildings using data driven approaches through Artificial Intelligence

BrainBox AI is working on the mandate to provide better solutions for optimized control of HVAC systems modeled through data using AI. The Intern will continue our research at BrainBox AI and to continue to develop data driven approaches for an optimized operation of HVAC systems in design and implementation of scalable AI frameworks for AI needs in the ongoing projects at BrainBox AI. The Intern will apply AI (including ML/DL/RL), data mining and statistical approaches for the creation of scalable predictive models. Evaluate the performance of predictive models and integrate in existing AI frameworks identify, analyze, and interpret trends or patterns in complex data sets. The solution to achieve this objective will be created by applying AI algorithms.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

BrainBox AI

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program: