Hangzhou, China, 8- 12 June 2025
Organized by João Soares (jan@isep.ipp.pt), Fernando Lezama, Jose Almeida, Oscar Danilo Giraldo, Ali Bassam, Zita Vale
Energy is what propels both personal growth and society advancement. As the energy environment changes, we must broaden our attention to include control and optimization in complex energy systems in addition to optimization alone. Although the growing energy needs of emerging economies are unavoidable, it is imperative to put policies in place that protect the environment and advance sustainability given the planet’s finite resources and the substantial climate change brought on by the power industry.
Research is continuously necessary to navigate the socioeconomic complexities of the energy sector. Nevertheless, the difficulties encountered in this field are yet complex resulting from issues like high dimensionality, nonlinearities, noisy or erroneous data. Furthermore, there are time limits associated with these problems, necessitating immediate responses. Therefore, for many energy problems, getting near-optimal and accurate solutions in a reasonable amount of time is one persistent difficulty.
Scope and Topics
The previous editions of this special session were started at CEC in 2018, and we desire to continue with it over time with the necessary updates. We are looking for articles that explore how Evolutionary Computation (EC) might be used to solve real-world problems in the energy industry. These issues may affect different energy carriers, such as heating, cooling, and power delivery, at different market levels, ranging from residential to commercial. Problems with high complexity, unpredictability, changeable goal settings, numerous targets, and wide search regions are of special interest to us.
This special session’s main goal is to improve communication between energy engineers and those creating new EC applications, namely the AI community, with an emphasis on addressing problems pertaining to energy optimization in complex systems. It’s also important to highlight that this Special Session is a crucial component of IEEE CIS ISATC Taskforce 3 activities.
Topics should concern CI applications or theory in the energy domain, including, but not limited to:
- Distributed evolutionary approaches in the energy domain;
- AI-enhanced control strategies for Electric and plug-in hybrid vehicles;
- Dynamic optimization of electricity markets using Computational Intelligence (local, regional, and wholesale levels);
- Energy scheduling and management with Intelligent Control Systems;
- Explainability in evolutionary computation for energy systems through machine learning and other AI methods;
- Algorithm configuration and portfolio for evolutionary computation in the energy domain;
- Ensuring Fairness in the application of CI within energy communities;
- Joint optimization of Heat and electricity with Computational Intelligence-driven algorithms;
- CI-driven solutions for Hydrogen economy challenges in energy systems;
- Evolutionary computation approaches to provide explanations for interactive machine learning in energy problems;
- CI-driven solutions for Natural gas optimization problems in energy systems;
- Optimal power flow in distribution and transmission with CI-based control systems;
- CI-driven approaches for Residential, industrial, and district cooling/heating problems;
- Smart grid and micro-grid control using CI and evolutionary algorithms;
- CI-driven solutions for Solar and wind power integration and forecast in energy systems;
- Addressing super grids challenges with continental and trans-continental transmission using CI;
- Transportation & energy joint problems: CI and Control Perspectives.
Important Dates
Paper submission due (Extended): 15 January 2025
Notification of acceptance: 15 March 2025
Final paper submission and early registration: 1 May, 2025
How to submit a paper
Further related bibliography
- [1] Almeida, J., Soares, J., Lezama, F., Vale, Z., & Francois, B. (2023). Comparison of evolutionary algorithms for solving risk-based energy resource management considering conditional value-at-risk analysis. Mathematics and Computers in Simulation, 2024.
- [2] Rodríguez-González, A. Y., Lezama, F., Martínez-López, Y., Madera, J., Soares, J., & Vale, Z. (2022). WCCI/GECCO 2020 Competition on Evolutionary Computation in the Energy Domain: An overview from the winner perspective. Applied Soft Computing, 125, 109162.
- [3] Lezama, F., Soares, J., Vale, Z., Rueda, J., Rivera, S., & Elrich, I. (2019). 2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results. Swarm and evolutionary computation, 44, 420-427.
- [4] Lezama, F., Soares, J., Faia, R., & Vale, Z. (2019, July). Hybrid-adaptive differential evolution with decay function (HyDE-DF) applied to the 100-digit challenge competition on single objective numerical optimization. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 7-8).
Organizers
Francisco José de Caldas District University, Colombia
Autonomous University of Yucatan, Mexico
