Workshops

ACM e-Energy 2019 will have an exciting spread of workshops. We invite everyone to consider submitting papers and/or attending workshops! The workshops, dates, and websites are listed below.

2nd Intl Workshop on Energy Data and Analytics

The 2nd International Workshop on Energy Data and Analytics (EDA)


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.

Paper registration and submission deadline: February 26th, 2019
Notification of acceptance: April 15th, 2019
Final manuscript due: May 20th, 2019

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.

Please find more information (e.g., scope, submission instructions, and workshop schedule) on the EDA Workshop Website: https://www.energystatusdata.kit.edu/eda2019.php

2nd Intl Workshop on Electricity Market Engineering

The 2nd International Workshop on Electricity Market Engineering (EME)


The energy landscape is undergoing several fundamental changes. Decentralized and intermittent generation from renewable energy carriers is replacing the controllable fossil fuel energy sources. Furthermore, micro-grids advocate a semi-distributed infrastructure as opposed to the conventional centralized energy systems. Finally, increasing the number of electric vehicles, and the replacement of passive consumers with active prosumers requires new energy trading platforms. These trends create major challenges to electricity markets. Introducing new ways of providing flexibility, emergence of new concepts such as vehicle to the grid, redefining energy/power unit commitments, and creating local electricity markets. These are some examples of how new market designs can accommodate these changes efficiently.

Paper submission deadline: April 22th, 2019
Notification of acceptance: May 13th, 2019
Submission of camera ready papers: May 19th, 2019

Please find more information (e.g., scope, submission instructions, and workshop schedule) on the EME Workshop Website: https://im.iism.kit.edu/EME.php

AMLIES

The 1st International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES)


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 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 modelling, 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 substantial amount of labelled training data. Collection and labelling of the data in complex systems such as power grids and buildings with complicated energy usage behaviors require 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.

PDF version of AMLIES Workshop Call For Papers is available HERE.

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.

Paper submission deadline: March 10th, 2019March 20th, 2019
Author Notification: April 15th, 2019
Camera ready submission deadline: May 20th, 2019

Please find more information (e.g., scope, submission instructions, and workshop schedule) on the AMLIES Workshop Website: http://sinberbest.berkeley.edu/amlies/2019

Supporters

Association for Computing Machinery ACM EIG Energy

Sponsors

GEIRI IBM

Student Travel Grant Support

National Science Foundation ACM SIGCOMM

ACM e-Energy owes its success, in great part, to the generous backing of our academic and corporate partners. If you are interested in sponsoring ACM e-Energy 2019, please contact the General co-Chairs: Xiaojun Lin and Steven Low.

The ACM e-Energy 2019 Website by ACM SIGCOMM 2012 is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Source code is available at github.com.