**About the Editors**

**Tiago Pinto** was awarded his PhD in 2016 and is currently Researcher at the GECAD research group, ISEP/IPP. He has participated in more than 20 research projects, including leadership of H2020 MSCA-IF. He has published over 200 scientific papers in his main areas of research interest, which include the application of artificial intelligence (AI) in several problem domains, especially in the fields of power and energy systems, electricity markets, and smart grids. His main expertise lays in the fields of adaptive machine learning and automated negotiation, including multi-agent systems, machine learning algorithms, knowledge-based systems, game theory, artificial neural networks, genetic algorithms, particle swarm intelligence, and data mining. Tiago Pinto has been awarded multiple prizes and awards for works developed in these fields, e.g., APPIA (Portuguese Association for AI) best PhD thesis in AI and REN (Portuguese Electrical Network Operator) 2nd best MSc thesis.

**Jo˜ao Soares** has a BSc in Computer Science (2008) and a master's degree in Electrical Engineering (2011) from Polytechnic of Porto, Portugal. He attained his PhD degree in Electrical and Computer Engineering (2017) at UTAD university. He is currently Researcher at GECAD—Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development in the School of Engineering of the Polytechnic of Porto and has recently been an invited professor at Ecole Centrale De Lille in the L2EP. He coordinates projects in the field of smart grids and smart buildings with application of computational intelligence techniques. His research interests include optimization of power and energy systems, including heuristic, hybrid, and classical optimization. He has published more than 140 publications in this field and his works have been cited over 2500 times (H-index of 25 in Google Scholar).

**Fernando Lezama** received his MSc degree (with Honors) in Electronic Engineering—Telecommunication (2011), and the PhD in ICT (2014) from the Monterrey Institute of Technology and Higher Education (ITESM), Mexico. He was also a postdoctoral researcher at the National Institute of Astrophysics, Optics, and Electronics—INAOE (2015–2017), Mexico, where he worked in the development of intelligent systems for optimization in smart grids. Since 2017, he has served as Researcher at GECAD, Polytechnic of Porto, where he contributes to the application of computational intelligence (CI) in the energy domain. Dr. Lezama has been part of the National System of Researchers of Mexico since 2016, Chair of the IEEE CIS TF 3 on CI in the Energy Domain, and has been involved in the organization of special sessions, workshops, and competitions (at IEEE WCCI, IEEE CEC and ACM GECCO) to promote the use of CI to solve complex problems in the energy domain. He is also part of the National System of Researchers (I-Level) of Mexico. He has been author and co-author of more than 50 academic papers published in top-tier journals and conferences in telecommunications, computational intelligence, and power systems. His research interests include computational intelligence, evolutionary computation, network planning, and optimization of smart grids and optical networks.
