报告题目：微电网数据分析（Microgrid Data Analytics）
报告摘要: A microgrid is a local electricity grid with distributed power generators (typically renewable resources like solar panels), consumers (households and companies) and batteries. It has an extensive range of sensors, generating streaming machine-to-machine (M2M) data to support optimization of electricity generation, consumption and storage. It also has control capability such that it can disconnect from the traditional grid and operate autonomously. Prediction-based electricity trading is also an important aspect of microgrid ecosystem. Microgrids bring significant new challenges and opportunities to data management and data analytics, from data acquisition, data quality control, data compression, data fusion, data disaggregation, data mining and data prediction. In this talk we will introduce this emerging area to the data management community, and share some of our recent work on large scale mcirogrid data analytics.
主讲人介绍: Professor Xiaofang Zhou is a Professor of Computer Science at The University of Queensland, Australia, leading the Data and Knowledge Engineering (DKE) Group at UQ. His research focus is to find effective and efficient solutions for managing, integrating and analyzing very large amount of complex data for business, scientific and personal applications. He has been working in the area of spatial and multimedia databases, data quality, high performance database systems and data mining. He is a Program Committee Chair for VLDB 2020, IEEE ICDE 2013, ACM CIKM 2016 and a General Chair of ACM Multimedia 2015. He has been an Associate Editor of The VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, World Wide Web Journal, Distributed and Parallel Databases, and IEEE Data Engineering Bulletin. He is the current Chair of IEEE Technical Committee on Data Engineering (TCDE).