Webinar details
Artificial Intelligence (AI) is rapidly transforming the renewable energy sector by enhancing the efficiency, reliability, and sustainability of energy systems. This webinar, “Recent Trends and Applications of AI in Renewable Energy Technologies,” explores the latest advancements in AI-driven solutions for renewable energy generation, forecasting, operation, and management. Participants will gain insights into how machine learning, deep learning, optimization algorithms, and intelligent control techniques are being applied to solar, wind, hydro, and hybrid energy systems.
The session will also highlight emerging applications of AI in smart grids, energy storage systems, electric vehicle integration, predictive maintenance, demand response, and energy management systems. Through real-world case studies and recent research developments, attendees will learn how AI is enabling more resilient, cost-effective, and intelligent renewable energy infrastructures, paving the way toward a cleaner and more sustainable energy future.
- The webinar will be recorded and will be sent out to registered attendees afterwards.
- A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
- Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.
Key takeaways from this webinar
- Understand the latest AI technologies and trends being applied in renewable energy systems, including machine learning, deep learning, predictive analytics, and intelligent optimization techniques.
- Explore practical applications of AI in renewable energy generation, forecasting, energy storage, smart grids, electric vehicle integration, and predictive maintenance to improve system performance and reliability.
- Evaluate the role of AI in advancing sustainable energy systems by enhancing operational efficiency, reducing costs, supporting grid stability, and facilitating the large-scale integration of renewable energy resources.
Related courses
This webinar/topic relates to our school of Electrical Engineering and Renewable Energy and is particularly found in the following courses:
- Professional Certificate of Competency in Carbon Capture
- Professional Certificate of Competency in Battery Energy Storage and Applications
- 52934WA Graduate Certificate in Renewable Energy Technologies
- 52894WA Advanced Diploma of Applied Electrical Engineering (Renewable Energy)
- 52910WA Graduate Certificate in Hydrogen Engineering and Management
- 52892WA Advanced Diploma of Electrical and Instrumentation (E&I) Engineering in Mining
- 52883WA Advanced Diploma of Applied Electrical Engineering (Electrical Systems)
- Online – Bachelor of Science (Electrical Engineering)
- Associate Degree in Electrical Engineering
- Master of Engineering (Electrical Systems)
- Master of Engineering – Applied Research (Electrical Systems)
About the presenter
Dr. Shezan Arefin, Research Faculty, Adjunct Associate Professor at Laval University, Associate Professor at Northern Border University, Adjunct Faculty at Murdoch University
Dr. Shezan Arefin is an expert in Renewable Energy Integration, Power System Analysis, Power Transmission/Distribution systems, and Power Quality Analysis. He ranked in the world’s Top 2% Scientists (back-to-back 4 years; 2022-2025) as listed by Elsevier (in collaboration with Stanford University). He has been working for the Engineering Institute of Technology, Australia, as a Research Supervisor and Unit Coordinator. Moreover, he is currently working as an Adjunct Associate Professor in the Electrical Engineering Department at Laval University, Canada, and as an Adjunct Senior Lecturer at the School of Energy and Engineering, Murdoch University, Australia. Moreover, previously he was working as a grid connection and renewable energy consultant for Doosan GridTech Inc., Melbourne office, Australia and for Elecnor Australia as a Power System consultant. He completed his PhD degree in Electrical and Electronic Engineering from RMIT University, Melbourne, Australia. He received his Master of Engineering degree from the University of Malaya. Moreover, he received his Bachelor of Engineering degree in Electrical Engineering and Automation from Shenyang University of Chemical Technology, China. His research interests and technical expertise lie in Microgrid design and analysis, Hybrid Renewable Energy Systems, Power System Modelling and Analysis, grid connection studies, feasibility studies, Solar Energy, Wind Energy, Optimization and AI/Machine Learning-based Microgrid assessment, Control Systems, Power Electronics, BESS Monitoring and Control techniques, and Energy Economics, etc.