International Workshop
on Energy Data and Analytics
e-Energy Workshop 2022
June 28, 2022 – taking place virtually
Important Dates
- Paper Registration and Submission: April 11, 2022
- Notification of Acceptance: May 11, 2012
- Final Manuscript Due: May 26, 2022
Keynote Speaker
“Supplying Data Centres with 24/7 Clean Energy”
Bio & Abstract
Schedule
Presentations of papers are 15 minutes long with 5 minutes discussion. Presentations for short papers are
12 minutes long with 3 minutes discussion. The schedule is defined in the Central European Summer Time (CEST) time zone.
9:00–9:45 — Keynote
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Supplying Data Centres with 24/7 Clean Energy
9:45–11:00 — Session: Data Analytics
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Emissions and prices are anti-correlated in Australia: what this means for the decarbonisation of our grid
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SVD-reduction of high-dimensional German spatio-temporal wind speed data and clusters of similarity
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Adaptively coping with concept drifts in energy time series forecasting using profiles
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Application of Analytical Uncertainty Propagation to the Turkish Transmission Network in a Case Study with High Uncertain Wind Power Share and Distributed Storage
11:00–11:15 — Break
11:15–12:10 — Session: Data Sets and Data Generation
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Modeling and Generating Synthetic Anomalies for Energy and Power Time Series
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LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings
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High-Resolution Real-World Electricity Data from Three Microgrids in the Global South
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. On the other side, this is not the case for all aspects of energy systems, even though the availability of data is crucial for the development of new methods. The questions how data describing energy systems can be captured and processed, how its availability can be increased, and what can be learned from it are fundamentally important. This last aspect 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 and measurements from real-world energy systems
- 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
- descriptors of energy data sets
- 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.
Submissions are made by HotCRP: https://eenergy22eda.hotcrp.com/
Organizing Committee
TPC Co-Chairs
- Klemens Böhm, KIT, Germany
- Nicole Ludwig, University of Tübingen, Germany
Program Committee
- Andreas Reinhardt, TU Clausthal, Germany
- Aniket Chakrabarti, Microsoft, USA
- Bijay Neupane, Siemens Gamesa, Denmark
- Erik Buchmann, Hochschule für Telekommunikation Leipzig, Germany
- Jorge Ángel González-Ordiano, Universidad Iberoamericana Ciudad de México, Mexico
- Jorge Ortiz, Rutgers University, USA
- Lukasz Golab, University of Waterloo, Canada
- Marnie Shaw, ANU, Australia
- Martin Arlitt, Micro Focus, Canada
- Oliver Grothe, KIT, Karlsruhe
- Stephen Haben, Energy Systems Catapult, UK
Please turn to Klemens Böhm (klemens dot boehm at kit dot edu) for any questions or comments.