CODE: RE22
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course explores how artificial intelligence enhances the efficiency, reliability, and sustainability of renewable energy technologies while simultaneously delivering social, economic, and environmental benefits. Participants will gain insights into how AI-driven tools optimize energy forecasting, grid integration, predictive maintenance, and demand response, as well as how these advances contribute to reducing emissions, improving energy access, and fostering green economic growth.
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 concept of co-benefits in renewable energy systems.
Identify AI applications that enhance efficiency and resilience in renewable energy operations.
Assess how AI-driven energy systems support emissions reduction, cost savings, and improved energy access.
Analyze case studies demonstrating real-world AI applications in renewables.
Develop strategies to integrate AI into renewable projects to maximize both technical and social outcomes.
At the end of this course, you’ll understand:
The course is designed for energy professionals, policymakers, sustainability officers, researchers, and technology innovators who are engaged in renewable energy development and deployment. It is also suitable for decision-makers in utilities, environmental organizations, and government agencies who seek to understand how AI can provide added value beyond energy efficiency, supporting broader socio-economic and environmental objectives.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
