Robust recovery and quality assessment of power grid data

电网数据缺失的恢复对电网的可靠运行和控制起着至关重要的作用。对于不准确的数据，数据恢复算法需要是实时的和健壮的。电力公用事业公司可以用来帮助他们监控电网状态，从而采取适应性、纠正性和预防性措施的技术，最终将通过更便宜、更可靠的能源供应为消费者带来最大利益。拟议的研究项目汇集了SFU和Awesense的研究人员，目标是开发计算方法，以最佳方式恢复丢失的网格数据，并以快速、稳健和高效的方式评估数据质量。该项目的成果将用于增强Awesense现有的一系列产品以及创建新的产品线。

Recovery of missing power grid data plays a key role in the reliable operation and control of the power grid. Algorithms for data recovery need to be real time and robust with respect to inaccurate data. Technology that power utility companies can use to help them monitor the state of the power grid and thereby take adaptive, corrective, and preventive action would ultimately bring most benefit to the consumers, through cheaper and more reliable energy supply. The proposed research project brings together researchers from SFU and Awesense with the goal of developing computational methods to optimally recover missing grid data and assess data quality in a fast, robust, and efficient way. Outcomes from this project will be used to enhance Awesense existing set of products as well as create a new product line.