{"id":1340,"date":"2024-12-12T09:39:36","date_gmt":"2024-12-12T09:39:36","guid":{"rendered":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/?page_id=1340"},"modified":"2025-01-20T13:52:46","modified_gmt":"2025-01-20T13:52:46","slug":"ss2025","status":"publish","type":"page","link":"https:\/\/www.gecad.isep.ipp.pt\/ERM-competitions\/ss2025\/","title":{"rendered":"2025 Call for special session CEC – Computational Intelligence for Control and Optimization of Complex Energy Systems"},"content":{"rendered":"\n

Hangzhou, China<\/strong>, 8- 12 June 2025<\/h4>\n\n\n\n

Organized<\/strong> by Jo\u00e3o Soares (jan@isep.ipp.pt), Fernando Lezama, Jose Almeida, Oscar Danilo Giraldo, Ali Bassam, Zita Vale<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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Scope and Topics<\/strong><\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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Topics<\/strong> should concern CI applications or theory in the energy domain, including, but not limited to:<\/p>\n\n\n\n