e-Energy Workshop 2024
International Workshop on Energy Data and Analytics
Singapore
June 4, 2024
https://www.energystatusdata.kit.edu/eda2024.php
Important Dates
- Paper Registration and Submission: March 25, 2024
- Notification of Acceptance: April 26, 2024
- Final Manuscript Due: May 3, 2024
Keynote Speaker: TBA
Schedule: TBA
Scope and Topics
The design of future energy systems that are efficient, ecologically sound, resilient, and scalable is a paramount concern of our societies. Another increasingly relevant development is the shift towards a data-driven perspective on system design. In the context of energy systems, a vast and diverse array of data is often available. For instance, smart meters continuously generate data streams that are often recorded and archived. However, this wealth of data is not uniformly accessible across all aspects of energy systems, despite its crucial role in enabling the development of innovative methods. Fundamental questions arise regarding the capture, processing, and utilization of data describing energy systems. These include predicting various aspects of supply and demand, implementing predictive maintenance for energy infrastructures, and processing energy-consumption data in a manner that respects individual privacy and business confidentiality.
This interdisciplinary workshop aims to bring together individuals with expertise in both data management/data analytics and energy systems to address these critical challenges. Its objectives are as follows:
- Highlight the feasibility and promise of data-driven approaches in the design and operation of energy systems.
- Provide researchers in the databases/KDD communities with the opportunity to present their ideas, concepts, and solutions to experts in energy systems for critical evaluation.
- Facilitate knowledge exchange between researchers in energy systems and data-oriented approaches, enabling them to learn from each other's expertise and broaden their methodological horizons.
- Serve as a networking platform to foster collaborations and explore funding opportunities.
- Expose researchers to a diverse audience eager to learn about novel data sets relevant to emerging research topics.
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://eda24.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
- Edouard Fouché, Siemens AG, Germany
- Erik Buchmann, Universität Leipzig, Germany
- Jorge Ángel González-Ordiano, Universidad Iberoamericana Ciudad de México, Mexico
- Jorge Ortiz, Rutgers University, USA
- Konstantin Hopf, U Bamberg, Germany
- Mario Bergés, CMU, USA
- Marnie Shaw, ANU, Australia
- Martin Arlitt, OpenText, Canada
- Niranjini Rajagopal, Amazon, USA
- Oliver Grothe, KIT, Germany
- Pandarasamy Arjunan, Indian Institute of Science, India
- Philipp Staudt, University of Oldenburg, Germany
- Priya Donti, MIT, USA
- Stephen Haben, Energy Systems Catapult, UK
Please turn to Klemens Böhm (klemens.boehm@kit.edu)
for any questions or comments.
