Abstract
While the German word “Energiewende” is not yet quite as well-known globally as the widely used “kindergarten”, it has made it into the English language as a short description for a program of energy transition towards a low-carbon sustainable energy supply based on – to a large degree – renewable energy sources as well as increased energy efficiency. Different aspects of this transition, such as energy storage systems, bio-fuels, integration of decentralized energy production into smart grids and the monitoring of energy use to find opportunities for conservation by automatic data analysis are areas that are actively being worked on by members of the research focus “Efficient Energy Systems” at the University of Applied Sciences Landshut.
In this talk I will present an overview of the different research directions that are being pursued in this research focus. In particular, I describe initial work on an intelligent energy management system that we are building at the university and some experiments applying deep learning to the non-intrusive load monitoring problem.
Biography
Prof. Mock is Professor of Mobile and Distributed Systems in the Department of Computer Science at the University of Applied Sciences, Landshut, Germany, a small — about 5000 students — university in the greater metropolitan Munich area. He received his Ph.D. in Computer Science 2002 from the University of Washington, Seattle. After a few years on the faculty at the University of Pittsburgh, he followed the call of Silicon Valley and worked in various highly scalable systems problems, first at Google, and later, at Amazon, specifically on the Echo smart speaker. Since his return to academia in 2014, he has been interested in bringing large scale and mobile computing techniques to the problem of energy efficiency and sustainability and is a member of the interdisciplinary research group “Efficient Energy Systems” at the University of Applied Sciences Landshut.