Third IEEE-CIS Technical Challenge: Predict+Optimize for Renewable Energy Scheduling (US$20k in prizes)
The IEEE Computational Intelligence Society (IEEE CIS) presents its third technical challenge, this year on the topic of scheduling for demand flexibility and battery usage in an uncertain renewable energy setting. We want to improve scheduling based on energy production and demand forecasting, based on data from the Monash microgrid with rooftop solar installations and batteries for energy storage.
IEEE-CIS works across a variety of Artificial Intelligence and machine learning areas, including deep neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. Today they’re partnering with Monash University (Melbourne, Australia), seeking the best solutions for battery and load scheduling, and now you are invited to join the challenge. Winners will be invited to present their solution at the 2021 IEEE Symposium Series on Computational Intelligence (SSCI).
- 1st prize: US$7,000
- 2nd prize: US$5,000
- 3rd prize: US$3,000
- Forecasting Prize: US$2,000
- 1 July 2021 – Competition starts
- 4 October 2021 – Phase 1 closes: Final sign up deadline
- 25 October 2021 – Phase 2 closes: Final submission deadline
- 1 November 2021 – Shortlisting announcement
- 29 November 2021 – Deadline final description report
- 4 – 7 December 2021 – Shortlisted solution presentations at the 2021 IEEE Symposium Series on Computational Intelligence (SSCI). The conference will be held virtually and registration for the 5 shortlisted submissions will be covered
- Awards ceremony at the IEEE SSCI