AI-based Model Predictive Control for Energy Management in Smart Buildings using Wireless Sensor Networks

The purpose of this project is to make use of the AI algorithms to enhance the energy consumption related to indoor heating ventilation and air conditioning (HVAC). The project involves collecting data using wireless sensors network, developing thermal dynamic model of a building, and developing Model predictive control (MPC) solver that reduced the energy consumption. Two selected PDFs are involved. The first PDF worked deeply in the developing the thermal dynamic models for buildings as well as developing the corresponding MPC-based solvers. The second PDF worked on AI-based design of wireless networks and will contribute in the data collection and the AI-model development. The partner organization main activity is to offer AI-based services in many fields and is interested to invest in the HVAC field given its AI expertise.

Faculty Supervisor:

Lokman Sboui

Student:

Partner:

Quantolio Financial Technologies Inc;Thermolio AI Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

École de technologie supérieure

Program: