Second International Workshop
on Energy Data and Analytics
e-Energy Workshop 2019
June 25, 2019 – Phoenix, AZ, United States
- Paper Registration and Submission:
February 26, 2019 March 5, 2019
- Notification of Acceptance: April 15, 2019
- Final Manuscript Due: May 20, 2019
Scope and Topics
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 wants to draw attention to the fact that data-driven approaches often are possible and tend to be promising when designing and operating energy systems.
- The workshop wants to give researchers in databases/KDD communities the opportunity to subject their ideas, concepts and solutions to a critical perspective by experts for energy systems.
- The workshop wants to help bringing researchers on energy systems close to the state-of-the-art on what data-oriented approaches can do for the design and operation of such systems. It wants to provide support to individuals who want to broaden up methodologically.
- The workshop wants to serve as a networking platform, with an eye on funding opportunities in particular.
- The workshop aims to expose researchers to a diverse audience eager to learn about novel data sets, which relate to emerging research topics in particular.
The workshop solicits submissions on the following topics – all of them specific to energy data/energy systems and their characteristics:
- New approaches and techniques to analyze energy data
- data reduction
- data science for energy data
- infrastructures for/techniques/best principles for the administration, management and archiving of energy data
- data from simulations of energy systems
- synthetic data generation
- data integration and data quality
- data privacy and anonymization
- modeling and representing energy-specific knowledge
On a methodological level, the workshop is open to any kind of submission:
- research papers
- vision papers
- comparative studies
- descriptors of energy data sets
- case studies and experience reports.
Two types of contributions are solicited:
- Full papers, up to 8 pages in 9-point ACM double-column format (i.e., excluding references) and unlimited number of pages for appendices and references, single-blind.
- Short papers, up to 4 pages in 9-point ACM double-column format (i.e., excluding references) and unlimited number of pages for appendices and references, single-blind.
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/
- Klemens Böhm, KIT, Germany
- Manish Marwah, Micro Focus, US
- Holger Trittenbach, KIT, Germany
- Martin Arlitt, University of Calgary/Micro Focus, Canada
- Gowtham Bellala, C3IoT, USA
- Mario Berges, CMU, USA
- Erik Buchmann, Hochschule für Telekommunikation Leipzig, Germany
- Aniket Chakrabarti, Microsoft, USA
- Lukasz Golab, University of Waterloo, Canada
- Danica Greetham, The Open University, UK
- Oliver Grothe, KIT, Germany
- Stephen Haben, Energy Systems Catapult, UK
- Dirk Neumann, University of Freiburg, Germany
- Bijay Neupane, Aalborg University, Denmark
- Jorge Ortiz, Rutgers University, USA
- Debprakash Patnaik, Amazon, USA
- Andreas Reinhardt, TU Clausthal, Germany
- Rebecca Schwerdt, KIT, Germany
- Marnie Shaw, ANU, Australia
Please turn to Klemens Böhm (klemens dot boehm at kit dot edu) for any questions or comments.