The penetration of solar energy in the grid is rising rapidly due to continuing declines in solar module prices. However, large-scale solar penetration imposes an increasing burden on the grid to absorb a consumers' solar energy surpluses and make up for their energy deficits. The energy produced by solar deployments is often monitored directly or indirectly by utilities and third parties using networked energy meters, which record and transmit energy data at fine-grained intervals. While this solar energy data is a rich source of information that can improve grid operations, it also has serious privacy implications. In this talk, we will present some recent work on solar energy analytics that illustrates this dichotomy. We first present SunDance, a technique for disaggregating solar power from a building's net energy usage. Since the vast majority of solar deployments are "behind the meter," accurate solar disaggregation can significantly improve utilities' visibility into distributed solar generation. Unfortunately, solar energy data is not anonymous: since every location on Earth has a unique solar signature, it embeds detailed location information. To explore the severity and extent of this privacy threat, we next discuss SunSpot and Weatherman, techniques for localizing "anonymous" solar-powered buildings based on each location's unique solar and weather signature, respectively.
David Irwin is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Massachusetts Amherst where he leads the Sustainable Computing Lab. His research focuses on designing, building, and analyzing experimental software systems with a particular emphasis on improving sustainability. This research cuts across multiple areas, including operating systems and virtualization, distributed systems and networking, embedded sensor systems, data science, security and privacy, and economics. He has co-authored over 100 peer-reviewed journal, conference, and workshop publications, and is the recipient of the NSF CAREER award and multiple Google Faculty Research awards. In addition, work that formed the basis of his Ph.D. dissertation was selected as one of the best papers in the first 20 years of the ACM HPDC conference. This 2003 paper was one of the first on the design of what are now known as Infrastructure-as-a-Service clouds, which are the foundation of cloud computing. In 2018, the College of Engineering at UMass Amherst awarded him the Barbara H. and Joseph I. Goldstein Outstanding Junior Faculty Award.
The design of future energy systems that are efficient, ecologically friendly, robust and scalable is a core concern of our societies. Another very relevant development in recent years is the one towards a data-driven perspective on system design. In the context of energy systems, a broad variety of data, often huge in volume, is available. For instance, each smart meter is generating data streams, which often are recorded and archived. The questions how such data can be captured and processed, and what can be learned from it are fundamentally important. This includes predictions of various kinds of supply and demand, predictive maintenance of energy infrastructures, the processing of energy-consumption data in a way that respects the privacy of the individuals involved as well as business secrets etc.
This workshop is interdisciplinary in nature, i.e., brings together individuals interested in both data management/data analytics and energy systems. Its objectives are the following ones:
The workshop solicits submissions on the following topics – all of them specific to energy data/energy systems and their characteristics:
On a methodological level, the workshop is open to any kind of submission:
Two types of contributions are solicited:
The submission must be in PDF format and be formatted according to the official ACM Proceedings format. Papers that do not meet the size and formatting requirements may not be reviewed. Word and LaTeX templates are available at http://www.acm.org/publications/article-templates/proceedings-template.html. The proceedings of the workshop will be published by ACM Digital Library along with the e-Energy conference proceedings.
Submissions are made by HotCRP: https://eenergy19eda.hotcrp.com/
Please turn to Klemens Böhm (klemens dot boehm at kit dot edu) for any questions or comments.