• About

    The mission of the ISS4E Laboratory is to use information systems and science to increase the efficiency and reduce the carbon footprint of energy systems.

    Our vision is to apply our expertise to find innovative solutions to large-scale problems in energy systems, working synergistically with researchers in related disciplines, as well as with partners in industry, and aiming to have impact both in Canada and around the world.

    Motivation

    The generation, distribution, and consumption of energy lie at the foundations of modern civilization. Traditional energy systems are centralized and carbon-intensive, with deterministic generation, minimal energy storage, infrequent monitoring, and wasteful consumption by energy-unaware end users. We are in the midst of a revolutionary transformation where energy systems already incorporate tens of millions of stochastic renewable-energy sources and soon will have vastly more storage. Unlike the consumers of the past–information poor, control poor, and energy rich–driven by the Internet of Things, leading to the availability of pervasive communication, control, measurement, and computation, future consumers will be information rich, control rich, and energy frugal.

    Future energy systems will have an architecture that resembles the Internet: large-scale, loosely-coupled, distributed, and heterogeneous. Our research hypothesis, therefore, is that technologies and concepts developed for the Internet will play a key role in future energy systems.

    Focus

    Our focus is on three disruptive technologies: electric vehicles, energy storage, and distributed renewable energy sources, especially solar energy. We study these elements in the context of smart homes and buildings, and in the distribution network, resulting in the design and analysis of systems that are flexible, exploit elasticity, and deal with inherent uncertainties.

    Research philosophy

    Our work is characterized by two important features:

    • data-driven design
    • realistic assumptions that bridge mathematical models and real implementation

    Join us!

    We are always interested in collaborations:

    • Join the ISS4E mailing list, by filling in this form. Mailing list archives are here
    • Attend the ISS4E seminar series
    • Join our group meetings, held weekly