Workshops

ACM e-Energy 2021 will have an exciting spread of workshops. We invite everyone to consider attending workshops! The workshops, dates, and websites are listed below.

Applied Machine Learning for Intelligent Energy Systems (AMLIES)

3rd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES) 2021

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 9, 2021
Author notification: May 10, 2021
Camera ready submission: May 18, 2021

Submission:
Two types of contributions are solicited:

  • Full papers, up to 8 pages in 9-point ACM double-column format (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 (excluding references) and 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:

Website:Please find more information (e.g., scope, submission instructions, and workshop schedule) on the workshop website: sinberbest.berkeley.edu/amlies/2021

Energy-Efficient Data Centres (E2DC2021)

9th International Workshop on Energy-Efficient Data Centres (E2DC2021)

Abstract: In 2020, due to the Corona crisis, digital infrastructures have provided indispensable added value for the cohesion of our society. As a substantial component of this infrastructure, data centers perform the primary digital work and act reliably in the background. The necessary scientific dialogue to understand the relevance of energy related issues in the context of data centers was and is the DNA of E2DC workshops. E2DC studies innovative methods to improve energy-efficiency and sustainability of all imaginable data center variations, regarding a broader context of data center ecosystems by investigating their integration and interactions with smart grids, smart cities and demands of energy intense applications or platform ecosystems. The wide spectrum of topics ranges from the use of renewable energy over the control and optimisation of infrastructure services and emissions, demand response techniques to federation of distributed data centers. Amongst others, this year’s edition will focus on the potential impact of AI on data center energy consumption.

Dates:
Submission of papers: March 31, 2021
Notification of authors: April 30, 2021
Camera-ready submission: May 18, 2021

Submission:
We invite submissions of up to 8 pages in length, 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:

Website: Please find more information (e.g., scope, submission instructions, and workshop schedule) on the Workshop Website: e2dc.eu

Workshop on Energy Efficiency Learning at the Edge (WEEE)

2nd International Workshop on Energy Efficiency Learning at the Edge (WEEE)

Abstract: We are entering an era full of modern AI-powered mobile/IoT applications with prominent examples like virtual/augmented reality and autonomous driving. Leveraging sophisticated machine learning technologies, these applications typically require massive computation applied on an enormous amount of data (e.g., audio/video and time-series sensory data). On the other hand, such applications impose stringent constraints on performance metrics like latency and reliability due to their user-interactive and mission-critical nature. These challenges have driven the evolution of cloud computing into a more distributed one at the network edge in close proximity of end-devices or even on-device computing solutions, where energy efficiency is of critical importance. We invite researchers and practitioners to submit original ongoing work, visionary ideas, or experiences related to efficient machine learning solutions for mobile/IoT scenarios or energy-efficient systems/algorithms for edge computing/networking in general.

Dates:
Submission Deadline: March 31, 2021
Author Notification: April 30, 2021
Camera-ready submission: May 18, 2021

Submission:
We solicit the following two types of contributions:

  • Regular papers describing original research ideas and work, up to 6 pages including all figures, tables, but excluding references. Accepted regular papers will be presented at the workshop as oral presentations.
  • Vision papers identifying new research problems/challenges in the field, up to 4 pages including all figures, tables, but excluding references. Accepted vision papers will be presented at the workshop as short presentations followed by interactive discussions.
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:

Website: Please find more information (e.g., scope, submission instructions, and workshop schedule) on the Workshop Website

Workshop on Energy Data Visualization (EnergyVis)

2nd Workshop on Energy Data Visualization (EnergyVis)

Abstract: Recent years have seen substantial technological and analytical enhancements to the energy sector, enabling the move away from a passive and inefficient power grid network to the delivery of a smart system via sensors, monitors and other digital technologies. In parallel, we have seen advanced data analytics emerging to explore improvements to predictions, forecasts and models throughout the industry. The emerging data from this sector is not only growing in volume but in its complexity.

Visualization as a tool for data analysis, exploration and communication has become a driving force in the task of unravelling data complexity and is crucial in helping to bridge the gap between the flood of data and ensuring decision makers can make more effective and informed decisions. Visualization and visual analytics offer a vast array of opportunities for the energy domain and we have seen a new era of ‘Energy Data Visualization’ emerge as a topic of growing importance. This workshop brings together scientists, researchers and practitioners from the field to present their work and discuss the many challenges and goals in regard to energy data visualization.

Dates:
Submission Deadline: April 30, 2021
Author Notification: May 11, 2021
Camera-ready submission: May 18, 2021

Submission:
We are accepting 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. 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:

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

Supporters

Association for Computing Machinery ACM SIGEnergy
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