IEEE World Congress on Computational Intelligence 2018
(Congress on Evolutionary Computation – CEC 2018)
João Soares, Fernando Lezama, Zita Vale
Task force: IEEE CIS Task Force on 'Computational Intelligence in the Energy Domain, IEEE CIS Intelligent Systems Applications TC ()
Aim and scope:
Increasing energy demand and limited world resources call for sustainability, which is critical to keep up the world at the current pace. Efficiency is very relevant to contribute to this sustainability, and adequate methods of energy production and consumption are highly relevant. Optimization approaches are a crucial part of the planning, operation, and control of energy systems. However, many optimization problems in the energy domain are complex by nature since they are highly constrained and face issues related to high-dimensionality, lack of information, noisy and corrupted data as well as real-time requirements. Under these conditions, it becomes difficult to find a solution in an adequate amount of time. Even the most sophisticated exact solutions require workarounds that often lead to unsatisfactory performance and applicability of the algorithms.
Due to the difficulties of traditional algorithms to find feasible solutions for those complex problems in real-world conditions, Evolutionary Computation (EC) has emerged and demonstrated satisfactory performance in a wide variety of applications in the energy domain.
This special session welcomes research work concerning real-world applications of EC in the energy domain. The problems can be focused in different parts of the energy chain (e.g., heating, cooling, and electricity supply) and different consumer targets (e.g., residential or industrial level). Problems dealing with uncertainty, dynamic environments, and large-scale search spaces are a plus to the aim of this special session. This special session aims at bringing together the latest applications of EC to optimization problems in the energy domain.
Topics must be related to EC in the energy domain including:
- Electric and plug-in hybrid vehicles
- Electricity markets
- Energy scheduling
- Heat and electricity joint optimization problems
- Hydrogen economy problems
- Multi-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 trans-continental transmission system)
- Transportation & energy joint problems
Paper Submission Deadline: January 15, 2018
Paper Acceptance Notification Date: March 15, 2018
Final Paper Submission & Early Registration Deadline: May 1st, 2018
IEEE WCCI 2018: July 08-13, 2018
Special Session Organizers:
Joao Soares, GECAD, Polytechnic of Porto
Fernando Lezama, GECAD, Polytechnic of Porto
Zita Vale, GECAD, Polytechnic of Porto
João Soares has a BSc in computer science and a master in Electrical Engineering from Polytechnic of Porto in 2011. He attained his Ph.D. degree in Electrical and Computer Engineering at UTAD university in 2017. He is a senior researcher at GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. His research interests include optimization in transport and energy systems, including heuristic, hybrid and classical optimization. He published over 80 scientific articles in renowned journals and international conferences.
Fernando Lezama received an M.Sc. degree (with Honors) in Electronic Engineering - Telecommunication (2011), and a Ph.D. in Information Technologies and Communications (2014) both from the Monterrey Institute of Technology and Higher Education (ITESM), Mexico. He was a research visitor at the UNIBO (2013) and Scuola Superiore Sant'Anna (2015), Italy, where he worked with topics related to optical networks and 5G. He was a postdoctoral researcher at INAOE, Mexico, where he worked in the development of intelligent systems for in complex optimization problems. He is also part of the National System of Researchers (C-Level) of Mexico since January 2016. Currently, he is a researcher at GECAD (Portugal). His research interests include computational intelligence, evolutionary computation, network planning, and optimization of smart grids and optical networks.
Zita Vale is a senior researcher at the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) and a full professor at the Polytechnic of Porto. She received her diploma in Electrical Engineering in 1986 and her Ph.D. in 1993, both from University of Porto. Zita Vale works in the area of Power and Energy Systems, with a special interest in the application of Artificial Intelligence techniques. She has been involved in more than 50 funded projects related to the development and use of Knowledge-Based systems, Multi-Agent systems, Genetic Algorithms, Neural networks, Particle Swarm Intelligence, Constraint Logic Programming and Data Mining. She published over 600 scientific articles in top-level SCI journals and international conferences.
- BISITE, University of Salamanca, Salamanca, Spain (Juan Corchado)
- Centrum Wiskunde & Informatica, Amsterdam, Netherlands (Michael Kaisers)
- Computational Intelligence Research Group, CIRG, Pernambuco University, Recife, Brazil (Fernando Buarque)
- Department of Electrical Sustainable Energy, Delft University of Technology, Delft, Netherlands. (Jose Rueda)
- Engineering faculty Deparment, São Paulo State University (UNESP), Ilha Solteira, Sao Paulo, Brazil (Ruben Romero)
- GESE, Federal Institute of Santa Catarina (IFSC), Florianopolis, Brazil (Piara Fernandes)
- Laboratory for Advanced Studies in Electric Power and Integration of Renewable Energy Systems (L-ASPIRES), The University of Texas At Austin, USA (Surya Santoso)
- Luxembourg Institute of Science and Technology (LIST), Luxembourg (Ivan S. Razo-Zapata)
- National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico (Enrique Munoz de Cote)
Real-Time Power and Intelligent Systems (RTPIS), Clemson University, SC, USA (G. Kumar Venayagamoorthy)