Driving energy efficiency with AI
Deputy Department Chair of Machine Learning, and Associate Professor of Machine Learning
A novel combination of machine learning (AI) techniques deployed by MBZUAI faculty has advanced the development of smarter energy grids.
An innovative electrical network that uses digital technologies, sensors, and software to better match supply with demand, minimizing costs and maintaining the stability and reliability of the grid.
These smarter grids are designed to cope with the intermittent nature of renewable energy, for example when there’s no wind, there is no energy. Additionally, these grids will be able to function in both directions, allowing renewable energy generators like solar panels and small wind turbines to send excess energy back into the grid. Finally, the development of smart grids built with advanced security features can also protect the privacy of energy users.
