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
- Paper Registration and Submission: March 25, 2024
Keynote Speaker: Prof. Dr. Sebastian Lehnhoff
"NFDI4Energy - National Research Data Infrastructure for Interdisciplinary Energy System Research"
Abstract
The necessary transformation of energy systems towards net zero greenhouse gas emissions provides a plethora of new research challenges. New interconnections between different energy sectors, such as power, heat, and mobility, increase the system's complexity. In this context, the digitalization towards cyber-physical energy systems (CPES) alleviates change and equally affects technical, social, and societal topics, as well as the mode of research in the CPES research community. Research efforts towards CPES heavily rely on modeling and (co-)simulation-based approaches. Tracking models together with all data creates a complex software and data management challenge, which needs to be addressed in each research project. To this end, NFDI4Energy covers the whole research and transfer cycle of projects in energy system research ranging from (1) identifying relevant competencies for a project; (2) defining relevant scenarios and experimental setup; (3) integrating models and data; coupling tools and laboratories; (4) extracting results, facilitating public consultation; to (5) identifying research challenges for follow-up activities. With several services, NFDI4Energy aims to develop and provide an open and FAIR research ecosystem in the energy system domain containing a large share of common workflows from data gathering to the inclusion into research software, together with data publications for researchers spanning from single component development up to system-of-systems research.
Bio
Sebastian Lehnhoff is a Full Professor for Energy Informatics at the University of Oldenburg. He received his doctorate at the TU Dortmund University in 2009. Prof. Lehnhoff is chairman of the board of the OFFIS Institute for Information Technology and speaker of its Energy R&D division. He is board member of the section „Energy Informatics“ within the German Informatics Society (GI) as well as an active member of numerous committees and working groups focusing on ICT in future Smart Grids. In 2022 he has been appointed to the Board of Trustees of the Volkswagen Foundation (Volkswagen Stiftung). He is CTO of openKONSEQUENZ e.G. – registered co-operative industry association for the development of modular Open-Source SCADA/EMS. He serves as Chairman of the Executive Board of the Energy Research Centre of Lower Saxony (EFZN) as well as an Executive Committee Member of the ACM Special Interest Group on Energy Systems and Informatics (SIGEnergy). Prof. Lehnhoff is member of the German Academy of Science and Engineering (acatech) as well as a member of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW). He is author of over 180 refereed and peer-reviewed scientific publications.
Prof. Lehnhoff leads one of the largest Energy Informatics research groups in Europe (~100 researchers). His research interests focus on the large-scale integration of decentralized, renewable energy sources into the electricity supply system in combination with the politically motivated reorganization of corporate structures and business processes. The Energy Informatics group in Oldenburg develops ICT-technologies for a future reliable, robust, profitable electricity supply system based on renewable energies – the Smart Grid. Key issues are:
- Open communication standards and data models to ensure the interoperability of IT-architectures
- Real-time methods for distribution network automation at lower voltage levels with a focus on ancillary service provision
- Distributed algorithms for decentralized resource planning (e.g. demand side management/response) within distribution networks to increase operational flexibility
- Methods and tools for assessing and support of changing ICT-corporate architectures of energy supply protagonists
- Methods for simulation and automated analysis of large-scale integrated multi-domain energy systems
- AI-based Smart Grid cyber-resilience measures
Schedule:
14:00–15:15 — Session I
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Keynote: NFDI4Energy - National Research Data Infrastructure for Interdisciplinary Energy System Research
Sebastian Lehnhoff (University of Oldenburg)
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Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions
Oliver Neumann (Karlsruhe Institute of Technology (KIT)), Maximilian Beichter (Karlsruhe Institute of Technology (KIT)), Benedikt Heidrich (Karlsruhe Institute of Technology (KIT)), Nils Friederich (Karlsruhe Institute of Technology (KIT)), Veit Hagenmeyer (Karlsruhe Institute of Technology (KIT)), Ralf Mikut (Karlsruhe Institute of Technology (KIT))
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PaSTS: An Operational Dataset for Domestic Solar Thermal Systems
Florian Ebmeier (University of Tübingen), Nicole Ludwig (University of Tübingen), Georg Martius (University of Tübingen), Volker Franz (University of Tübingen)
15:15–15:40 — Coffee break
15:40–17:00 — Session II
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Predicting grid frequency short-term dynamics with Gaussian processes and sequence modeling
Bolin Liu (Karlsruhe Institute of Technology (KIT)), Maximilian Coblenz (Ludwigshafen University of Business and Society), Oliver Grothe (Karlsruhe Institute of Technology (KIT))
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Untangling Carbon-free Energy Attribution and Carbon Intensity Estimation for Carbon-aware Computing
Diptyaroop Maji (University of Massachusetts Amherst), Noman Bashir (Massachusetts Institute of Technology), David Irwin (University of Massachusetts Amherst), Prashant Shenoy (University of Massachusetts Amherst), Ramesh K. Sitaraman (University of Massachusetts Amherst)
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Improving Reduced-Order Building Modeling: Integration of Occupant Patterns for Reducing Energy Consumption
Jovana Kovačević (Karlsruhe Institute of Technology (KIT)), Chang Li (Karlsruhe Institute of Technology (KIT)), Kevin Förderer (Karlsruhe Institute of Technology (KIT)), Hüseyin K. Çakmak (Karlsruhe Institute of Technology (KIT)), Veit Hagenmeyer (Karlsruhe Institute of Technology (KIT))
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Comparability and Reproducibility in HPC Applications' Energy Consumption Characterization
Tom Hilgers (RWTH Aachen University), Radita Liem (RWTH Aachen University)
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.
