Learning Resources
In this page, we would share useful resources for new and aspiring researchers and industry professionals interested to get a head start in the AI4Renewables domain. We would also share content which can help expand the scope of applying AI towards mitigating climate change for researchers already applying AI in their specialised projects in this very promising domain.
Note: Contents would be continuously updated.
Recording of the day 1 of the ICLR 2022 social "Facilitating a smoother transition to Renewable Energy with AI" at ICLR 2022 (25 April, 11 am - 1 pm GMT). Includes Panel Discussion
Recording of the day 2 of the ICLR 2022 social "Facilitating a smoother transition to Renewable Energy with AI" at ICLR 2022 (27 April, 11 am - 1 pm GMT). Includes Learning Resources and Invited Talk
Copy of slides (PDF) from the organisers' presentation on Day 1 and Day 2
Presentation_ICLR22_AI4Renewables.pdfPublic data resources pertaining to Operations and Maintenance (O&M) of wind turbines
Other datasets repositories in the renewable energy domain