June 2022 ACM SIGEnergy Newsletter

Content

  1. ACM eEnergy’22 – Updates
  2. ACM BuildSys’22 – Updates
  3. EIR – Updates
  4. Call for participation – Large-scale Energy Anomaly Detection (LEAD) competition
  5. ACM SIGEnergy resource for energy-related data sets
  6. Posting additional information (contact Yashar Ghiassi-Farrokhfal: [email protected])

1. ACM eEnergy’22 – updates

ACM eEnergy’22 provides two mirrors accommodating different time zones by offering hybrid on-site extensions, i.e., lightweight hubs – “viewing parties” synchronized with mirrors in different time zones. Hubs can either be attended for participation/viewing only or for on-site presentations – at COVID-compliant environments in line with local pandemic rules and regulations. These hubs are self-organized events by community members for ~40 people. Organizers may calculate and charge fees (see details below – in addition to the conference’s registration fee), to accommodate catering or on-site technical support. The two hubs are:

Hub #1: OFFIS Institute for Information Technology, Oldenburg, Germany
Hub #2: University of Massachusetts, Amherst, USA

For attendance at one of the hubs, registration is required – please select the hub option during the E-Energy registration process!

More information:
Hubs: https://energy.acm.org/conferences/eenergy/2022/hybridhubs.php
Registration: https://energy.acm.org/conferences/eenergy/2022/registration.php
Skeleton of the program: https://energy.acm.org/conferences/eenergy/2022/umbrellaprogram.php

Conference Dates:
June 28 – July 1, 2022: ACM e-Energy 2022 conference

2. ACM BuildSys’22 – updates

The 9th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2022) will host a highly selective, single-track forum for research on systems issues covering all aspects of the built environment, broadly defined. Advances in the effective integration of networked sensors, building controls, and physical infrastructure are transforming our society, allowing the formation of unprecedented built environments and interlocking physical, social, cyber challenges. Moreover, built environments, including buildings and critical urban infrastructure, account for over half of society’s energy consumption and are the mainstay of our nation’s economy, security and health. As a result, there is a broad recognition that systems optimizing explicitly for the built environment are particularly important in improving our society, and represent the foundation for emerging “smart cities”.

Important Dates:
Abstract Registration: July 8th, 2022, AOE
Paper Submission: July 15th, 2022, AOE
Paper Notification: September 2nd, 2022

Conference date and location: November 9-10, 2022, Boston, Massachusetts, USA
More information:  http://buildsys.acm.org/2022/

3. EIR – Updates

ACM SIGENERGY Energy Informatics Review (EIR) is a new online publication venue for articles on topics within the SIG’s field of interest. It seeks high-quality papers at the intersection of computing and communication technologies with smart and sustainable energy systems and the built infrastructure.

The next two submission deadlines are June 1 and September 1, 2022. Please check the following link for submission deadlines and other information:
https://energy.acm.org/eir/call-for-papers/

4. Call for participation – Large-scale Energy Anomaly Detection (LEAD) competition

Launch of Large-scale Energy Anomaly Detection (LEAD) competition on Kaggle Anomaly detection in energy time series is an increasingly important and challenging task. However, the lack of large-scale annotated energy consumption datasets hinders the ongoing research in anomaly detection. Recently, a team of researchers, Dr. Pandarasamy Arjunan (https://www.samy101.com/) and Dr. Manoj Gulati (https://www.linkedin.com/in/manoj-gulati-4416b145/), have launched a Kaggle competition called “Large-scale Energy Anomaly Detection (LEAD)” and provided a large dataset of year-long hourly electricity meter readings and anomaly labels from 200 buildings. The participants are challenged to develop more accurate anomaly detection models, which will be evaluated using a test dataset of another 200 buildings. The competition page (https://www.kaggle.com/c/energy-anomaly-detection/) contains more details about this competition, datasets, and rules.

5. ACM SIGEnergy resource for energy-related data sets

The ACM SIGEnergy website has a Resources page with a variety of data sets freely available for use by the energy community. It is available at https://energy.acm.org/resources/

We invite each of you to share any energy-related data sets, models, and software that we haven’t added to this page. Please send this information directly to Omid Ardakanian at [email protected].

6. Posting additional information

If you would like to post additional information such as academic job opportunities, Ph.D. scholarships, or a new energy systems course, then please send me the details and I will include them in the next monthly newsletter. My email address is [email protected].

As always, the ACM SIGEnergy website has the latest information. We welcome you to peruse it https://energy.acm.org/

Yashar Ghiassi-Farrokhfal,
Communications Director, ACM SIGEnergy