Padua, Italy, 18-23 July 2022
Organized by Fernando Lezama (firstname.lastname@example.org), Joao Soares, Zita Vale, Bruno François
Energy is the fuel used to power human activities that ensure societies’ development and human comfort. Thus, the growing demand for energy coming from developing countries is unavoidable. Sustainability and environmental quality must be ensured taking into consideration the known finite resources of the earth and the dramatic climate changes that the power industry is bringing.
The energy field is a complex socio-economic environment that requires a great deal of analysis and planning. In fact, many problems that arise in this field are complex and have characteristics such as high dimensionality, high number of constraints, lack of information, noisy and corrupted data. These issues often present time constraints that involve solutions in near to real-time operation. Hence, achieving good and precise solutions in a fair amount of time remains a concern for many energy problems.
Scope and Topics
This special session is a follow-up to the previous editions organized at CEC since 2018. Papers on the application of the EC to real-world problems in the field of energy are welcome. Problems may be based on various energy carriers (e.g., heating, cooling and power supply) and different market levels (from household to industrial level). Problems of high complexity under uncertainty, dynamic objective settings, many-objectives, and large-scale search spaces are more than welcome. This special session aims to bridge the gap between energy engineers and the new EC applications for energy optimization problems.
This SS is also part of IEEE CIS 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)
- 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: 31 January 2022 (11:59 PM AoE)
Notification of acceptance: 26 April 2022
Final paper submission: 23 May 2021
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.