CODE: RE21
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course explores how cutting-edge AI tools and techniques are transforming the renewable energy landscape by enhancing efficiency, reliability, and sustainability. Participants will gain insights into the integration of AI in energy forecasting, grid management, predictive maintenance, energy storage, and smart distribution systems through case studies, simulations, and practical applications.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand the role of AI in optimizing renewable energy systems.
Apply AI methods for forecasting renewable energy generation and demand.
Use predictive analytics for equipment maintenance and lifecycle management.
Explore AI-driven solutions for smart grids, storage, and distribution.
Evaluate the challenges, risks, and ethical considerations in deploying AI in the energy sector.
At the end of this course, you’ll understand:
The course is designed for energy professionals, engineers, data scientists, policymakers, sustainability managers, and decision makers in the power and utilities sector who seek to understand and apply AI to improve renewable energy performance. It is also suitable for researchers, consultants, and innovators interested in the intersection of technology and sustainable energy.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
