Opportunities and Challenges for Machine Learning in the African Electricity Sector

Session description: This session will highlight impactful work at the intersection of climate change, electricity, and machine learning in a variety of African contexts. Topics addressed will include energy access, load forecasting, and data mining for electricity system data. Speakers will also discuss the broader opportunities and challenges associated with working in machine learning and energy on the African continent. The session will begin with short talks from all speakers, followed by audience Q&A and discussion.

Speakers:
* Bhekisipho Twala (Durban University of Technology)
* Simone Fobi (Columbia University)
* Nathan Williams (Rochester Institute of Technology)