Energy resources forecasting is increasingly important in current and future power and energy systems. Due to the high uncertainty of generation based on renewable energy sources, which results from their dependence on weather conditions, such as wind speed or solar intensity, the need to develop suitable solutions to deal with such variability increases considerably.
Relevant effort is being put on the development of energy consumption and generation forecasting methods, able to deal with different forecasting circumstances, e.g., the prediction time horizon, the available data, the frequency of data, or even the quality of data measurements. The main conclusion is that different methods are more suitable for different prediction circumstances, and it is not clear that a certain method can outperform all others in all situations.
This competition fosters the benchmarking of artificial intelligence methods for solar generation forecasting. Authors of methods that present the best results in this competition will be invited to present their work.
The deadline for the results submission has been postponed to 31st October, 2022. The participants that already made their submission, are invited to improve their results until the new deadline.
Competition Website: https://www2.gecad.isep.ipp.pt/smartgridcompetition-forecast/
GECAD competitions: https://www2.gecad.isep.ipp.pt/smartgridcompetitions/
