Chicago, USA, 2-5 July 2023
Organized by João Soares (firstname.lastname@example.org), Fernando Lezama, Zita Vale, Kumar Venayagamoorthy
Energy drives the actions that bring about societal progress and individual well-being. Consequently, the increasing energy needs of emerging economies are inevitable. Considering the planet’s limited resources and the drastic climatic changes the power sector is causing, we must establish measures to safeguard the environmental quality and promote sustainability.
The socioeconomic landscape of the energy sector is complex and calls for extensive research and preparation. However, many issues that develop in this area are notoriously difficult because of factors including high dimensionality, many restrictions, a lack of knowledge, and noisy or damaged data. These problems often have time limits that need solutions in near real-time. Consequently, getting near-optimal and accurate answers in a reasonable time remains an issue for several energy problems.
Scope and Topics
This special session is a follow-up to the previous editions held at CEC beginning in 2018. We encourage submissions of papers that focus on applying the EC to practical challenges about the energy sector. Different types of energy carriers (such as heating, cooling, and electricity supply, for example) and market levels might be the source of the issues (from household to industrial level). We are very interested in problems with high complexity and unpredictability and problems with dynamic goal settings, multiple objectives, and expansive search areas. This special session aims to facilitate communication between energy engineers and the developers of new EC apps to solve energy optimization issues.
This Special Session is also part of IEEE CIS ISATC Taskforce 3 activities.
Topics should concern EC applications or theory in the energy domain, including, but not limited to:
- Distributed evolutionary approaches in the energy domain
- Electric and plug-in hybrid vehicles
- Electricity markets (local, regional, and wholesale levels)
- Explainability in evolutionary computation
- Fairness in energy communities
- Energy scheduling and management
- Heat and electricity joint optimization problems
- Hydrogen economy problems
- Multi/many-objective problems in the energy domain
- Natural gas optimization problems
- Optimal power flow in distribution and transmission
- Residential, industrial and district cooling/heating problems
- Smart grid and micro-grid problems
- Solar and wind power integration and forecast
- Super grids problems (continental and transcontinental transmission system)
- Transportation & energy joint problems
- Join machine learning and evolutionary computation approaches
Paper submission due: 13 January 2023 (11:59 PM AoE)
Notification of acceptance: March 3rd, 2023
Final paper submission: April 15th, 2023
How to submit a paper
Further related bibliography
-  F. Lezama, J. Soares, P. Hernandez-Leal, M. Kaisers, T. Pinto, and Z. Vale: Local Energy Markets: Paving the Path Towards Fully Transactive Energy Systems, IEEE Transaction on Power Systems, IEEE, 2018.
-  J. Soares, B. Canizes, M. A. Fotouhi Gazvhini, Z. Vale, and G. K. Venayagamoorthy, “Two-stage Stochastic Model using Benders’ Decomposition for Large-scale Energy Resources Management in Smart grids,” IEEE Transactions on Industry Applications, 2017.
-  F. Lezama, J. Soares, E. Munoz de Cote, L. E. Sucar, and Z. Vale, “Differential Evolution Strategies for Large-Scale Energy Resource Management in Smart Grids,” in GECCO ’17: Genetic and Evolutionary Computation Conference Companion Proceedings, 2017.