Computational Algorithms for Energy Efficiency and Cost Reduction

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Energy efficiency affects people's daily life, industry and social environment. For example, properly shiftingelectricity usage can significantly reduce its cost and the demand during periods of limited supply. As a leadingcompany in the market of energy efficiency, Lowfoot Inc. has been developing innovative tools for energy costreduction by Artificial Intelligence approaches.Supported by Lowfoot Inc., the project will introduce computational algorithms that are efficient in predictionof electricity usage and provide recommendations to minimize user's energy cost. New advancement inMachine Learning, big data and related areas will be investigated for effective solutions. With theoreticalfoundation in mathematical modeling and computing techniques, deep learning and cloud computing will beapplied. The objective is to improve the forecast accuracy of the system.The work will contribute directly to today's fast moving areas of data analytics by deep artificial intelligence ofwhich Canada is at the forefront. The results will benefit consumers and small business on energy managementand have the potential of creating new employment for the Canadian society.