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Is the smart grid an efficient, sustainable and human-centric energy system? What is the role of AI in the smart grid? These are some of the questions our speakers are going to answer in the first SMAGRINET set of webinars.

Additionally, we will introduce our "Artificial Intelligence in a Smart Grid with Prosumers" pilot module that has been carried out at 6 european universities. After or even during the piloting phase, universities are more than welcome to implement the modules at their universities. Within SMAGRINET we will implement a train-the-trainers´ program aimed at the education of local experts in order to expand the project and perform the teaching of modules at numerous EU universities. You can learn more about our modules HERE and how they have been carried out HERE. 

This 1 hour webinar (from 10:00 to 11:00 CET) is specially relevant for:

• University representatives teaching on the topics of Smart Grid, Machine Learning and Artificial Intelligence that wish to take up the above mentioned module in their academic institution.
• Students and current workforce (electrical engineers) interested in learning more about Artificial Intelligence in the Smart Grid.

Speakers' information:

• Saulius Gudžius is a Professor and Head of Electric Power Systems Department at Kaunas University of Technology. He is also an Operational expert of MTTP at UAB Modesa, a member of the Group of Smart Grid and Smart Metering System Development formed by the Ministry of Energy of the Republic of Lithuania, a member of the forming group of the Smart Specialisation priorities “Energy and a Sustainable Environment”, and a Member of the Lithuanian Electricity Association (LEEA). His research topics of interest include smart electric power systems, predictive maintenance, power system resilience, security of energy supply, digital intelligence application in power systems. Alongside his work as the Head of Department, he has supervised PhD students at KTU and been a part of several published books, such as “Methods for Testing and Diagnostics of Electrical Equipment” and “Fault identification systems by characteristics of smart grid. Study of problems in modern science: new technologies in engineering, advanced management, efficiency of social institutions”. He is currently part of the projects of “Kruonis FPV” and “Smagrinet“.
• Antanas Verikas was awarded a PhD degree in pattern recognition from Kaunas University of Technology, where he currently holds a professor position. For more than 25 years he has conducted research at Halmstad University Sweden and led the Department of Intelligent Systems. His research interests include machine learning, deep learning, computer vision, pattern recognition, classification, information fusion, fuzzy logic, and visual media technology. He has published more than 220 peer-reviewed articles in international journals and conference proceedings, and has more than 1300 citations, without self-citations, in the Web of Science, Clarivate Analytics. He served as conference chair (The International Conference on Machine Vision (ICMV), 2013-2019, London, Milano, Barcelona, Nice, Vienna, Munich, Amsterdam), as invited speaker and program committee member in numerous international conferences. He is the editor-in-chief of The Journal of Software and a member of the European Neural Network Society, The Swedish Artificial Intelligence Society, and a member of the IEEE.
• Aivaras Slivikas has experience in analytics and is a senior analyst at Lithuania’s TSO AB Litgrid, where he worked for 3 years. Renewable energy sources engineering bachelor’s (KTU) background has built a strong foundation for an interest in the energy sector and experience at TSO gave him great knowledge about balancing, ID, and DA energy markets. Realization of data importance in the energy sector brought Aivaras to business big data master’s degree (KTU) where he learned and applied various data utilization methods such as forecasting, classification, regression and clustering (master thesis: Wind power generation times series analysis and forecasting). Currently Aivaras is working at UAB Ignitis (energy supplier) as a client portfolio management expert, where his main responsibilities are electricity demand/ solar generation/ wind generation forecasting. At the same time Aivaras is doing research as a first year PhD student (KTU), the research field is: Artificial Intelligence-Based Methods for the Efficient Usage of Distributed Power Generation, Storage, and Consumption.
• Jonas Vaičys has just finished Kaunas University of Technology, Electrical Engineering and "Data analytics" interdisciplinary master's studies. He works closely with the university and has done practise work with UAB SDG, AB Litgrid, UAB Litgrid PowerLink Service and UAB Modesa. He is currently working on the project "Floating solar power plants on Kruonis FPV" as an engineer at KTU. He has experience in electrophysical measurements, system inertia, power flows, wind and conventional power generation, as well as data analytics, application of Supervised and Unsupervised machine learning methods, optimization tasks, modeling of very fast processes in electric networks, and calculations of dynamics of electric power systems. His interests include artificial intelligence, electricity markets, renewable energy, and smart grids.

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