The 4th International Workshop on Energy Data and Analytics (EDA) 2023

Abstract: 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.

Dates:
Submission Deadline: March 22, 2023
Author Notification: May 02, 2023
Camera-ready Submission: May 26, 2023

Submission:
We solicit the following two types of contributions::

• 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.

All submissions should be formatted using the standard 9-point ACM double-column format (sigconf proceedings template), single-blind. Papers that do not meet the size and formatting requirements may not be reviewed. Word and LaTeX templates are available on the ACM Publications Website.

Contact: For any questions, please contact one of the organisers:

• Klemens Böhm, KIT, Germany ([email protected])
• Nicole Ludwig, University of Tuebingen, Germany ([email protected])

Website: Please find more information (e.g., scope, submission instructions, and workshop schedule) on the EDA Workshop Website: https://www.energystatusdata.kit.edu/eda2023.php.

Applied Machine Learning for Intelligent Energy Systems (AMLIES)

Abstract: The capacities of societal-scale infrastructures such as power grids, smart buildings, transportation, and other energy systems are rapidly increasing, leading to Cyber-Physical Systems that can deliver human-centric values and energy services while enhancing efficiency and resilience. Technological advancements in sensing, learning, control, and optimization hold the enormous capacity to deliver intelligent energy systems of the future that are empowered to address pressing societal issues such as energy crisis, climate change, and environmental pollution. There has been an increasing interest to use Machine Learning, Data Analytics, and Internet of Things (IoT) in diverse energy systems including smart buildings, power systems, transportation systems, etc., to drive applications related to modeling, control, fault, and anomaly detection and optimization of energy, space, and cost amongst others. This has led to improved energy efficiency, occupant comfort, and productivity in smart buildings and enhanced system robustness and resilience in power systems. However, the application of machine learning to these energy systems has also opened up new research challenges. To perform optimally, these algorithms require a substantial amount of labeled training data. Collection and labeling of the data in complex systems such as power grids and buildings with complicated energy usage behaviors require a considerable amount of expert knowledge and is often prone to security and privacy issues. Efficiently using the available energy data for inference, decision and control can prove beneficial in this scenario. Another challenge is the lack of direct measurements for important drivers of energy consumption, such as occupancy. Data from opportunistic sources (such as images or communication network data) can be adopted to overcome this challenge. This workshop seeks to bring together researchers to discuss such underlying challenges related to the application of Machine Learning to Energy Systems, including smart buildings, smart grid, and transportation systems, and to present proposed and ongoing work to address them.

Dates:
Paper Submission Deadline: April 11, 2023
Author Notification: May 16, 2023
Camera-ready Submission: May 26, 2023

Submission:

• Full papers, up to 8 pages in 9-point ACM double-column format (excluding references) and an unlimited number of pages for appendices and references, single-blind.
• Short papers, up to 4 pages in 9-point ACM double-column format (excluding references) and an unlimited number of pages for appendices and references, single-blind.

Papers that do not meet the size and formatting requirements may not be reviewed. Word and LaTeX templates are available on the ACM Publications Website.

Contact: For any questions, please contact one of the organisers:

• Hari Prasanna Das, University of California, Berkeley ([email protected])
• Ján Drgoňa, Pacific Northwest National Laboratory ([email protected])
• Costas J. Spanos, University of California, Berkeley ([email protected])

Website: Please find more information (e.g., scope, submission instructions, and workshop schedule) on the Workshop Website: http://sinberbest.berkeley.edu/amlies/2023.

The Third ACM SIGEnergy Workshop on Society, Climate, and Sustainability (SIGEnegy WeCan)

Abstract: Climate change caused by global warming has set off negative environmental consequences, putting risks at the species inhabiting the planet including human beings. Fighting climate change has been recognized as a pressing issue of sustainable development. Meanwhile, it is a social issue too. A working climate action plan must consider the need of diverse groups and address issues of inequality on many levels, e.g., between the wealthy and the poor and between generations. The workshop aims to provide a vibrant venue for researchers within and outside the ACM SIGEnergy community to discuss the challenges and opportunities in the intersection of climate change, sustainability, and society. While issues within each of the three areas are of great interest on their own, we believe it is essential to look at the dynamic interplay among the three disciplines.

Intended audience: students, faculty members, researchers, engineers, and anyone interested in challenges and opportunities within and across Climate, Sustainability, and Society.

Call for Talk Abstracts: The workshop will feature a mix of invited talks by leading experts, a panel discussion, and selected talks from submitted abstracts. We invite prospective speakers to submit abstracts that highlight challenges and opportunities in the intersection of climate change, sustainability, and society. Submissions are made to HotCRP: https://wecan23.hotcrp.com/.

Location: The workshop will primarily be primarily held in-person alongside other ACM e-Energy Workshops.

Submission: We invite talk abstract of up to 2-4 pages in length. The submission must be in PDF format and be formatted using standard 9-point ACM double-column format. Word and LaTeX templates are available on the ACM Publications Website.

Dates:
Submission Deadline: April 15, 2023 (AoE)
Speaker Notification: May 15, 2023

Contact: For any questions, please contact one of the organizers:

• Prashant Shenoy, University of Massachusetts ([email protected])
• Minghua Chen, City University of Hong Kong ([email protected])
• Noman Bashir, University of Massachusetts ([email protected])
• Srinivasan Keshav, University of Cambridge ([email protected])

Website: Please find more information (e.g., scope, submission instructions, and workshop schedule) on the Workshop Website: https://energy.acm.org/workshops/wecan/2023/.

11th International Workshop on Energy-Efficient Data Centres (E2DC 2023)

Abstract: Recent year we faced enormous rises of energy prices and uncertainties concerning energy supply in many places around the world. This comes in parallel to ever growing demand for data centers capacity due to ongoing shift to online services (accelerated by the pandemia) and AI revolution around the corner. This may lead to high costs of services provided by these data centers or at least very high environmental footprint of industry and science. Furthermore, on top of that data centers have become relevant elements of the energy grids, with challenginf requirements but also providing opportunities to support their sustainability. To cope with these prpblems the main goal of the E2DC workshop is to study innovative methods to improve efficiency and sustainability of data centres. Importantly, E2DC concentrates on a broader context of data centre ecosystem by investigation of interactions with smart cities and smart grids. Hence, the workshop discusses topics such as the use of renewable energy, optimisation of cooling and heat re-use, demand response techniques, federation of distributed data centres and edge computing approaches, novel architectures and hardware, and all technologies that may lead to efficiency improvements or better integration with energy systems.

Dates:
Paper registration and submission deadline: April 14th, 2023
Notification of acceptance: May 12th, 2023
Camera ready submission due: May 26th, 2023

Submission: We invite submissions of up to 8 pages in length (or 4-pages for short/position papers), formatted using standard 9-point ACM double-column format (sigconf proceedings template), single-blind. Papers that do not meet the size and formatting requirements may not be reviewed. Word and LaTeX templates are available on the ACM Publications Website.

Contact: For any questions, please contact one of the organisers:

• Ariel Oleksiak, Poznan Supercomputing and Networking Center, Poland ([email protected])
• Gunnar Schomaker, Software Innovation Campus Paderborn, Germany ([email protected])

Website: Please find follow the Workshop Website: http://e2dc.eu, which will be constantly updated with more information and news (e.g., scope, submission instructions, and workshop schedule)..