January 2020 ACM EIG-ENERGY Newsletter


  1. *** ACM e-Energy 2020, Melbourne Australia – DEADLINE APPROACHING ***
  2. ACM e-Energy 2020 to host 5 High-Quality Workshops
  3. Flying Less in Academia: A Resource Guide
  4. ACM EIG-ENERGY resource for energy-related data sets
  5. The CityLearn Challenge
  6. Posting additional information (contact Arun Vishwanath: arvishwa@au1.ibm.com)

A very happy new year 2020 to all of you!

1. *** ACM e-Energy 2020, Melbourne Australia – DEADLINE APPROACHING ***

ACM e-Energy 2020 will be held in Melbourne, Australia between 22-26 June 2020. The call for papers has been posted on the website. Please see https://energy.acm.org/conferences/eenergy/2020/cfp.php

The conference will accept two types of papers: Full papers that are up to 10 pages and Notes papers that are up to 4 pages.

Here is the timeline:

Paper registration deadline: 27 Jan 2020
Paper submission deadline: 3 Feb 2020
Author notification: 20 Apr 2020
Camera-ready deadline: 18 May 2020
ACM e-Energy 2020 conference: 22 to 26 June 2020

Please plan now and submit your best papers to this premier conference!

2. ACM e-Energy 2020 to host 5 High-Quality Workshops

Every year, ACM e-Energy features collocated workshops on new trends or emerging topics of interest to the energy research community. Continuing this trend, ACM e-Energy 2020 will include 5 high-quality workshops to be held on 26 June 2020.

They are:
(i) 2nd International Workshop on Applied Machine Learning for Intelligent Energy Systems (AMLIES), full day workshop. Organisers: Hari Prasanna Das, Yu-Wen Lin and Costas J. Spanos (UC Berkeley)

(ii) 1st Workshop on Energy Efficiency at the Edge (WEEE), full day workshop. Organisers: Antonio Fernández Anta (IMDEA Networks Institute, Spain), Fangming Liu (Huazhong University of Science and Technology, China) and Fa Zhang (ICT, Chinese Academy of Sciences, China).

(iii) 8th International Workshop on Energy-Efficient Data Centres (E2DC 2020), full day workshop. Organisers: Ariel Oleksiak (Poznan Supercomputing and Networking Center, Poland) and Gunnar Schomaker (Software Innovation Campus Paderborn, Germany).

(iv) 1st Workshop on Challenges and Opportunities in the Design and Operation of Energy Storage Systems, half da y workshop. Organisers: Julian de Hoog (IBM Research Australia) and Omid Ardakanian (University of Alberta).

(v) 3rd Workshop on Urban Data Visualization: EnergyVis – Visualizing Energy Resilient Cities, half day workshop. Organisers: Sarah Goodwin, Arnaud Prouzeau, Barrett Ens, Hala Almukhalfi (Immersive Analytics Lab, Monash University, Melbourne).

The conference website will be updated shortly with links to the workshop CFP. In the meantime, please contact the workshop co-chairs for additional information.

3. Flying Less in Academia: A Resource Guide

A very useful guide to the ‘Flying Less’ movement in academia is here. Many thanks to Srinivasan Keshav for sharing this link.

4. ACM EIG-ENERGY resource for energy-related data sets

The ACM EIG-Energy 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.

5. The CityLearn Challenge

Periods of high demand for electricity raise electricity prices and the overall cost of the power distribution networks. Flattening, smoothening, and reducing the overall curve of electrical demand helps reduce operational and capital costs of electricity generation, transmission, and distribution networks. We have developed CityLearn to study this in a scalable fashion. CityLearn is an OpenAI Gym environment for the implementation of reinforcement learning agents in a multi-agent urban setting to reshape the aggregated curve of electrical demand by controlling the storage of energy in diverse types of buildings. Currently, CityLearn allows controlling the storage of domestic hot water (DHW), and chilled water. CityLearn also includes energy models of air-to-water heat pumps, electric heaters, and the pre-computed energy loads of the buildings, which include space cooling, dehumidification, appliances, DHW, and solar generation. You can find more on CityLearn on www.citylearn.net where we are also introducing a challenge to design the best RL controllers.

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 arvishwa@au1.ibm.com.

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