Prof. Panagiotis Tzavaras
European University of Cyprus, Nicosia, Cyprus

Title: Big Data and AI on Renewable Energy Systems

Abstract: Renewable energy systems are crucial for mitigating climate change and meeting the need for sustainable energy sources. Big Data and artificial intelligence (AI)combined, can transform the renewable energy industry by enhancing energy manufacturing, distribution, as well as consumption efficiency and reliability. Thisarticle delves into the significant influence of big data and AI on renewable energy systems, emphasizing the potential and problems linked to their adoption. Thisventure presents several difficulties in its materialization. Some of them are the data integration, cybersecurity problems and the substantial investments required for sucha task. However, by mitigating these obstacles, we can pave the way for a sustainable and friendly environment for the next generations.

BIO: Dr. Panagiotis Tzavaras is an Lecturer at the European University of Cyprus.He is a graduate of the Department of Statistics and Insurance Science of the School of Finances and Statistics of the University of Piraeus specializing in the analysis of portfolios (1999). Furthermore, he holds two postgraduate degrees. The first one is a Master’s in Advanced Studies in Telematics Management from the School of Media, Management, Information and Communication from Danube University of Krems, Austria specializing in e-Finance (2002). His second postgraduate degree is in Informatics Systems from the Greek Open University specializing in e-Government (2009). Finally, he wrote his doctoral dissertation at the National Metsovio Polytechnic School in the area of Humanities, Social Sciences and Justice (AKED) at the school of Applied Mathematics and Natural Sciences, focusing on the topic of the influence of Social Media on the real economy and the social identity of citizens (2019). He has a teaching experience in the tertiary education since the academic year 2000-2001; it includes mainly contracts of assignment of scientific or laboratory work, with independent teaching, to content pertinent to the fields of AI, data analysis, statistic, macroeconomic, quantitative methods, social media and adults education. Economy, Education.