Omkar2118/datasets huggingface dataset:
IEEE-CIS 3rd Technical Challenge
Full name: IEEE-CIS Technical Challenge on Predict+Optimize for Renewable Energy Scheduling

The IEEE Computational Intelligence Society ran a competition from July to November 2021 for predicting and optimizing based on renewable energy data.

The data was from six buildings and six solar installations at the Monash University, Clayton campus, in Melbourne, Victoria, Australia.
The data was at 15 minute resolution and from the years 2016 to 2020.
Competitors had to predict solar generation and building electricity usage for the months of October and November 2020, given perfect weather forecasts from the Australian BOM and European ECMWF.
Then, they had to submit a schedule for classes to minimize electricity cost based on peak demand and (known) electricity prices for the month.

Citation: C. Bergmeir, F. de Nijs et al. "IEEE-CIS technical challenge on predict+optimize for renewable energy scheduling," 2021. [Online]. Available: https://dx.doi.org/10.21227/1x9c-0161