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    Our mission 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

    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.

    Our research is characterized by:
    • data-driven design
    • realistic assumptions that bridge mathematical models and real implementation
    • building and evaluating realistic prototypes

    We are a group of professors, graduate students and post-doctoral fellows coming from Computer Science, Electrical and Computer Engineering and Management Science.

    Enjoy our website and its resources!

    S. Keshav, L. Golab, C. Rosenberg