Keynote 1: Floating Photovoltaic Systems: Innovations and Integration
Pr. Giuseppe Marco Tina
Director the Power System Research group and Laboratory
University of Catania , Italy
Abstract: Coming soon…
Biograhy: Giuseppe Marco Tina earned his M.Sc. and Ph.D. in Electrical Engineering from the University of Catania, Italy, in 1988 and 1992, respectively. After honing his expertise at Agip Refineries and ST Microelectronics, Catania, as an Electrical Engineer from 1993 to 1997, he joined the Department of Electrical, Electronics, and Informatics Engineering at the University of Catania. He now serves as a full Professor, leading the Power System Research group and Laboratory. His cutting-edge research focuses on the transformative impact of renewable generation systems on power grids, with a particular emphasis on the advanced numerical and experimental analysis of floating, agrivoltaic, and PV/T systems. In 2023 as a coauthor of the paper “Techno-economic potential and perspectives of floating photovoltaics in Europe”, he has been awarded by Solar Energy Journal Best Paper Award 2023, in the Solar Systems Integration category by Solar Energy Society (ISES). Author of 300 scientific papers: International journals (130), conference proceedings (153) and chapter of books (15), mainly on analysis and modelling of Wind and Photovoltaic generation systems, DGSs (Dispersed Generation Systems), Energy and Ancillary Services Markets, Stationary applications of Hydrogen Technology, photovoltaic/thermal (PV/T) systems, monitoring and diagnostic of photovoltaic systems. Co-Author of the book « Submerged and Floating Photovoltaic Systems: Modelling, Design and Case Studies », Academic Press, 2017. Co-editor of the book “Floating PV Plants”, Elsevier Science Publishing Co Inc, 2020.
Biograhy: Giuseppe Marco Tina earned his M.Sc. and Ph.D. in Electrical Engineering from the University of Catania, Italy, in 1988 and 1992, respectively. After honing his expertise at Agip Refineries and ST Microelectronics, Catania, as an Electrical Engineer from 1993 to 1997, he joined the Department of Electrical, Electronics, and Informatics Engineering at the University of Catania. He now serves as a full Professor, leading the Power System Research group and Laboratory. His cutting-edge research focuses on the transformative impact of renewable generation systems on power grids, with a particular emphasis on the advanced numerical and experimental analysis of floating, agrivoltaic, and PV/T systems. In 2023 as a coauthor of the paper “Techno-economic potential and perspectives of floating photovoltaics in Europe”, he has been awarded by Solar Energy Journal Best Paper Award 2023, in the Solar Systems Integration category by Solar Energy Society (ISES). Author of 300 scientific papers: International journals (130), conference proceedings (153) and chapter of books (15), mainly on analysis and modelling of Wind and Photovoltaic generation systems, DGSs (Dispersed Generation Systems), Energy and Ancillary Services Markets, Stationary applications of Hydrogen Technology, photovoltaic/thermal (PV/T) systems, monitoring and diagnostic of photovoltaic systems. Co-Author of the book « Submerged and Floating Photovoltaic Systems: Modelling, Design and Case Studies », Academic Press, 2017. Co-editor of the book “Floating PV Plants”, Elsevier Science Publishing Co Inc, 2020.
Keynote 2: Artificial Intelligence-based Models and Applications for a Sustainable and Efficient Energy Future
Pr. Zita Vale
School of Engineering, Polytechnic of Porto
University of Porto, Portugal
Abstract:The energy industry has been experiencing huge changes driven by the need for a more sustainable energy future. The significant increase in the use of renewable energy sources, the trend towards increased electrification in mobility and building climatization, and power and energy systems increased distributed nature, with distributed generation, active consumers, electric vehicles, and distributed storage are important aspects of the energy sector evolution. New planning and operation methods are needed to address the new challenges.
Artificial Intelligence models are needed to enable the energy transition process, ensuring not only adequate approaches for efficient energy use but also bringing a human centric paradigm to the energy business. Artificial Intelligence concepts and methods have a huge potential to bring effective solutions ensuring efficient and sustainable solutions as well as the fair and efficient participation of all the involved actors, from small consumers and energy communities to large utilities.
Data driven and knowledge-based approaches can ensure the required distributed decision support, planning, and management of the energy resources in the frame of competitive wholesale and local electricity markets. The new approaches must be trusted by their users making explainability and semantics key aspects of Artificial Intelligence-based models and applications to ensure a sustainable and efficient energy future.
Biograhy: Zita Vale, IEEE Senior Member, graduated in Electrical Engineering in 1986, received the PhD degree in Electrical and Computer Engineering in 1993, and the Agregação title (Habilitation) in 2003 from the University of Porto, Portugal. She is Full Professor in the School of Engineering, Polytechnic of Porto. She is a member of the Coordination Board of LASI – The Associated Lab on Intelligent System and leads the research activities on Intelligent Power and Energy Systems at GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. She has been involved in more than 60 R&D projects and published more than 200 papers in international scientific journals. Her scientific research activities mainly focus on Power and Energy Systems Operation, Electricity Markets, Demand Response, Renewables, Electric Vehicles, and Distributed Generation and Storage. She has been developing Artificial Intelligence-based models, methods and applications for Power and Energy, using Agents and Multi-Agent systems, Knowledge-Based systems, Semantics, Machine Learning, Data Mining, and Evolutionary Computation. Zita Vale actively participates in several technical working groups and committees. She is the IEEE PES (Power and Energy Society) Technical Committee Program Chair (TCPC) for Analytic Methods for Power Systems (AMPS) Committee, Chair of the IEEE PES Intelligent Data Analysis and Mining (IDMA) Working Group and of the Open Data Sets (ODS) Task Force. She is the Chair of the Board of Directors of ISAP – Intelligent Systems Application to Power Systems. She is Editor-in-Chief of Applied Energy journal (Elsevier) and is involved in edition activities for different journals and books. She has regular activity as reviewer and evaluator for papers and for project proposals and monitoring, from different funding agencies around the world.
Biograhy: Zita Vale, IEEE Senior Member, graduated in Electrical Engineering in 1986, received the PhD degree in Electrical and Computer Engineering in 1993, and the Agregação title (Habilitation) in 2003 from the University of Porto, Portugal. She is Full Professor in the School of Engineering, Polytechnic of Porto. She is a member of the Coordination Board of LASI – The Associated Lab on Intelligent System and leads the research activities on Intelligent Power and Energy Systems at GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. She has been involved in more than 60 R&D projects and published more than 200 papers in international scientific journals. Her scientific research activities mainly focus on Power and Energy Systems Operation, Electricity Markets, Demand Response, Renewables, Electric Vehicles, and Distributed Generation and Storage. She has been developing Artificial Intelligence-based models, methods and applications for Power and Energy, using Agents and Multi-Agent systems, Knowledge-Based systems, Semantics, Machine Learning, Data Mining, and Evolutionary Computation. Zita Vale actively participates in several technical working groups and committees. She is the IEEE PES (Power and Energy Society) Technical Committee Program Chair (TCPC) for Analytic Methods for Power Systems (AMPS) Committee, Chair of the IEEE PES Intelligent Data Analysis and Mining (IDMA) Working Group and of the Open Data Sets (ODS) Task Force. She is the Chair of the Board of Directors of ISAP – Intelligent Systems Application to Power Systems. She is Editor-in-Chief of Applied Energy journal (Elsevier) and is involved in edition activities for different journals and books. She has regular activity as reviewer and evaluator for papers and for project proposals and monitoring, from different funding agencies around the world.
