In the first of a series of postings updating you on the speakers for our Big Data Analytics for Smart Power Networks event coming up, I'm very pleased to start with Professor Maozhen Li from Dept. of Electronic and Computer Engineering, Brunel University London, Uxbridge


Professor Li will present on High Performance Computing Techniques for Big Data Analytics in Smart Grid

About the Speaker

Maozhen Li is a Professor in the Department of Electronic and Computer Engineering at Brunel University London. His research interests are in the areas of high performance computing, smart grid, big data analytics and intelligent systems. He has over 120 scientific publications in these areas including 3 books. He has served over 30 IEEE conferences. He is on an Editorial Board of 3 international journals. He has been working closely with Intel on high performance computing technologies. His joint work with the research team at Tongji University in Shanghai China on Real-Time Modelling of Shanghai Road Network for Adaptive Traffic Control received the Finalist Nomination Award from the IET in November 2015 for its innovation on Information Technology. He is a Fellow of the British Computer Society.

Synopsis

Big data is playing an ever increasing role in smart grids. Big data is normally characterized by 4Vs, i.e. volume, velocity, variety, and veracity. The rapid deployment of data acquisition devices with extremely high sampling rates such as Phasor Measurement Units (PMUs) has led to big data challenges in smart grids. In this speech, we will review the computing techniques in dealing with the 4Vs. A focus will be given on high performance computing techniques such as MapReduce and Spark which target at large scale offline and real-time online data analytics respectively. Some case studies on PMU data analytics will also be presented and analysed. 


Look out for further updates, today and for the rest of the week.