International Workshop
on Energy Data and Analytics
ACM e-Energy Workshop 2018
June 12, 2018 – Karlsruhe, Germany
Important Dates
- Paper Registration and Submission:
February 26, 2018 March 2, 2018 7:59:59am EST - Final Manuscript Due: April 20, 2018
Keynote Speaker
“Improving and Combining Multivariate Measurement and Prediction Data”
Schedule
9:00–10:00 — Data Sets — Session Chair: Danica Vukadinovic Greetham (University of Reading)
SCiBER: A new public data set of municipal building consumption
Philipp Staudt, Nicole Ludwig, Julian Huber, Veit Hagenmeyer, Christof Weinhardt (Karlsruhe Institute of Technology)
HIPE – An Energy-Status-Data Set from Industrial Production
Simon Bischof, Holger Trittenbach, Michael Vollmer, Dominik Werle, Thomas Blank, Klemens Böhm (Karlsruhe Institute of Technology)
10:30–12:30 — Predictive Analytics — Session Chair: Klemens Böhm (Karlsruhe Institute of Technology)
Invited Talk: “Improving and Combining Multivariate Measurement and Prediction Data”
Prof. Oliver Grothe, Chair of Analytics and Statistics, Karlsruhe Institute of Technology
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks
Vinayak Sharma, Umit Cali (University of North Carolina at Charlotte); Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano (Karlsruhe Institute of Technology)
Hybrid Day-ahead Load Forecasting with Atypical Residue based Gaussian Process Regression
Junho Song, Euiseok Hwang (Gwangju Institute of Science and Technology)
14:00–15:30 — Data-Driven Services — Session Chair: Holger Trittenbach (Karlsruhe Institute of Technology)
Optimal Reconfiguration of Real Low-Voltage Grids Based on Probabilistic Simulation
Michael Schallenburger, Leschek Kopczynski, Philipp Huppertz, Roland Zeise (Hochschule Düsseldorf)
Energy Disaggregation for SMEs using Recurrence Quantification Analysis
Laura Hattam, Danica Vukadinovic Greetham (University of Reading)
Data Economy for Prosumers in a Smart Grid Ecosystem
Ricardo Bessa, David Rua (INESC TEC); Cláudia Abreu (INESC TEC and FEUP); Paulo Machado, José Ricardo Andrade, Rui Pinto (INESC TEC); Carla Gonçalves (INESC TEC and FCUP); Marisa Reis (INESC TEC and
FEUP)
Scope and Topics
The design of future energy systems that are efficient, ecologically friendly, robust and scalable is a core concern of our societies. Further, in recent years there has been a major shift towards a data-oriented 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 generates data streams, which are often recorded and archived. The questions on 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., it brings together individuals interested in both data management/data analytics and energy systems. Its objectives are the following:
- To draw attention to the fact that data-oriented approaches often are possible and tend to be promising when designing and operating energy systems.
- To give researchers in databases/KDD communities the opportunity to present their ideas, concepts and solutions to a critical perspective of experts from energy systems.
- 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 their perspective on data-management and analytics methods.
- To serve as a networking platform, with an eye on funding opportunities 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
- visualization
- 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
- case studies and experience reports.
Submission Guidelines
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.
Submission site: https://eenergy18eda.hotcrp.com/
Organizing Committee
TPC Co-Chairs
- Klemens Böhm, KIT, Germany
- Manish Marwah, Micro Focus, US
Program Committee
- Martin Arlitt, University of Calgary/Micro Focus, Canada
- Gowtham Bellala, C3 IoT, USA
- Mario Berges, CMU, USA
- Daniel Gmach, Linkedin, USA
- Lukasz Golab, University of Waterloo, Canada
- Stephen Haben, University of Oxford, UK
- Mahmud Shahriar Hossain, University of Texas at El Paso, USA
- Ralf Mikut, KIT, Germany
- Dirk Neumann, University of Freiburg, Germany
- Jorge Ortiz, IBM Research, USA
- Torben Bach Pedersen, Aalborg University, Denmark
- Naren Ramakrishnan, Virginia Tech, USA
- Rebecca Schwerdt, KIT, Germany
Please turn to Klemens Böhm (klemens dot boehm at kit dot edu) for any questions or comments.