Computational Algorithms for Energy Efficiency and Cost Reduction

能源效率影响着人们的日常生活、工业和社会环境。例如，在电力供应有限的时期，适当地改变电力使用可以显著降低其成本和需求。作为能源效率市场的领先公司，Lowfoot Inc.一直致力于通过人工智能方法开发创新的能源成本降低工具。在Lowfoot公司的支持下，该项目将引入有效预测用电量的计算算法，并提供建议，以最大限度地减少用户的能源成本。将研究机器学习、大数据和相关领域的新进展，以寻求有效的解决方案。在数学建模和计算技术的理论基础上，将应用深度学习和云计算。目的是提高系统的预测精度。这项工作将直接促进当今快速发展的数据分析领域，通过深度人工智能，加拿大处于最前沿。研究结果将有利于消费者和小型企业的能源管理，并有可能为加拿大社会创造新的就业机会。

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.