Artificial Intelligence for Renewable Energy
Short course
Distance
Description
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Type
Short course
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Level
Intermediate
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Methodology
Distance Learning
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Languages
English
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Duration
3 Months
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Start date
Different dates available
This course will explore the integration of renewable energy and AI, addressing global energy transition challenges. Diverse examples and case studies will solidify key concept application.
This course covers entry level theory before building upon this with more advanced content.
Facilities
Location
Start date
Start date
About this course
There are no pre-requisites for enrolment as the course is taught at an entry level and builds up to more advanced topics on the subject area of each module. A reasonable standard of education is expected alongside a keen interest in renewable and sustainable energy, but otherwise we have no formal requirements for enrolment.
Galileo Master Certificate
Reviews
Subjects
- Artificial Intelligence
- Renewable Energy
- Systems
- Data Collection
- Ai fundamentals
Teachers and trainers (1)
Course programme
This course will navigate participants through the intricacies of renewable energy and AI integration, addressing the challenges and opportunities in the global energy transition. Utilising diverse examples and case studies, the course will solidify understanding and application of key concepts.
- Renewable Energy Basics & AI Fundamentals
- Data Collection & Cleaning Techniques
- Predictive Modelling for Energy Forecasting
- Optimisation for Energy Systems, including Supply/Demand Management
- Storage & Grid Integration Strategies, including Smart Grids
- Autonomous Control Systems in Renewables
- Predictive Maintenance with AI
- Risk Assessment & Mitigation, including Cybersecurity
- Real-world AI Applications in Renewables
- Ethical Considerations in AI for Energy Transition
Artificial Intelligence for Renewable Energy
