Energy Informatics.Academy Conference 2023 (EI.A 2023)
6-8 December 2023, Unicamp, São Paulo, Brazil
Keynote speakers and presentations
Artificial Intelligence Applied in the Electricity Sector as a Strategic Investment Theme in the Research, Development and Innovation Program of ANEEL
Márcio Venício Pilar Alcântara
Assistant Management Coordinator, Brazilian Electricity Regulatory Agency, Brazil
As a Regulation Specialist at Aneel, he brings extensive experience in Electrical Engineering with a focus on Power Systems. He has been working in the energy sector for over 15 years, previously as an Electrical Engineer at the Goiás Energetic Company (CELG). He earned his Bachelor's Degree in Electrical Engineering from UFG and went on to obtain his Master's and PhD from Unicamp. His research and expertise includes Smart Grid, Energy Efficiency, Power Distribution, Intelligent Systems and Electricity Regulation. He has been involved in several nationally recognized projects in the energy sector and continues to play an important role in shaping the future of Brazil's energy landscape.
Explainable AI for energy and smart grids: from concepts to real-world applications
Zita A. Vale
Professor, Coordenadora Principal, Polytechnic of Porto, Portugal
Zita Vale is a Full Professor of Electrical Engineering at the Institute of Engineering – Polytechnic of Porto (ISEP). She is Co-Editor-in-Chief of Applied Energy and has been involved in over 60 funded projects focused on developing and using artificial intelligence techniques such as Knowledge-Based systems, Multi-Agent systems, Neural networks, Particle Swarm Intelligence, and Data Mining. With more than 200 published journal papers, her research focuses on Power and Energy Systems, specifically in the application of Artificial Intelligence techniques. Zita Vale received her PhD from the University of Porto in 1993, and her Habilitation in 2003.
Hierarchies of Controllers for the Future Weather-Driven Smart Energy System
Professor and section head in Stochastic Dynamical Systems, Technical University of Denmark
Henrik Madsen is a distinguished professor of Mathematical Statistics with a specialization in Stochastic Dynamical Systems at the Technical University of Denmark. He has over 35 years of experience in the analysis and modeling of stochastic dynamics systems, with a particular interest in energy systems, environmental systems, and finance. Henrik has authored or co-authored over 650 papers and 12 books on various topics, including Time Series Analysis, General and Generalized Linear Models, Integrating Renewables in Electricity Markets, and Statistics for Finance. He has received numerous awards and honors, including the title of Knight of the Order of Dannebrog by Her Majesty the Queen of Denmark in 2016 and Doctor HC at Lund University in 2017.
The importance of supervising energy consumption and production
Marcelo Stehling de Castro
Professor, Federal University of Goiás, Brazil
Marcelo Stehling de Castro is a highly experienced professor in the School of Electrical and Computer Engineering at the Federal University of Goiás, Brazil, where he has been teaching since 1996. He has extensive expertise in the areas of Smart Cities, Smart Grids, Sustainability, Network Engineering, and Optical Communications. His research interests include communications networks, process management, and engineering education. He has played an active role in coordinating and participating in various research and development projects funded by ANEEL (Brazil's National Electric Energy Agency). With over 25 years of experience in academia, Marcelo is a recognized authority in his field and a valuable asset to the academic community.
Application of Data Analytics to Electrical Energy Systems
Professor, University of Campinas, Brazil
Prof. Walmir Freitas is a renowned expert in the areas of distribution systems, distributed generation, power quality, and protection. He has served as the Editor of the IEEE Transactions on Power Delivery and as the Chair of the IEEE/PES Working Group on Power Quality Data Analytics, earning recognition for his outstanding technical report. With over 20 years of experience, Prof. Freitas has led more than 50 R&D projects for utilities and government agencies in Brazil, Canada, and India, and has published over 80 journal papers while supervising more than 50 researchers. He holds a Ph.D. in Electrical Engineering from the University of Campinas and has also worked as a Visiting Professor in Canada.
The Convergence Revolution: Challenges and Opportunities in IoT and AI, and Energy
Professor, Institute of Computing, University of Campinas, Brazil
Anderson Rocha is a full professor for Artificial Intelligence and Digital Forensics at the Institute of Computing, University of Campinas (Unicamp), Brazil. He is the Director of the Artificial Intelligence Lab, Recod.ai, and also the Director of the Institute for the 2019-2023 term. With over two decades of experience, his research focuses on computer vision, multimedia forensics, and digital security. He has actively worked as an editor of important international journals and has been awarded numerous fellowships and recognitions, including the Tan Chin Tuan Fellowship, a recognition promoted by the Tan Chin Tuan Foundation in Singapore. Finally, he is ranked Top-2% among the most influential scientists worldwide, according to recent studies from Research.com and Stanford/PlosOne.
Energy and Digital Agroindustry
Associate Professor, School of Agricultural Engineering, University of Campinas, Brazil
Bárbara is an Associate Professor and communication coordinator of the Sustainable Campus Project at the School of Agricultural Engineering, UNICAMP. Her research focuses on precision and digital technologies for agroindustry, with specialization in automation and control of agroindustry processes. With a MSc degree in Mechanical Engineering from Cuba and MSc and PhD degrees from UNICAMP, she has extensive experience in nationally and internationally funded projects. Bárbara also leads partnership and agreement initiatives with universities across Europe, Central and South America, and the United States.