The IEEE Task Force (TF) on Open Data Sets makes power and energy-related data sets available whenever confidentiality and data property issues do not prevent their public use.
These data are intended to be used by researchers and other professionals working in power and energy-related areas requiring data for design, development, test, and validation purposes. These data should not be used for commercial purposes.
Call for participation: 2022-3 Competition on solar generation forecasting
Benchmarking of artificial intelligence methods for solar generation forecasting to address the increasing importance of energy resources forecasting in current and future power and energy systems.
NEW DEADLINE: 15th January 2023
I. Scope and Topics
Energy resource 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.
A relevant effort is being put into 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.
II. Submission Instructions
The deadline for the results submission has been postponed to 15th January 2023. The participants that already made their submissions are invited to improve their results until the new deadline.
Competition website: http://www.gecad.isep.ipp.pt/smartgridcompetition-forecast/
Other competitions: http://www.gecad.isep.ipp.pt/smartgridcompetitions/
Organizers
Luis Gomes, Polytechnic of Porto, Portugal (log@isep.ipp.pt)
Zita Vale, Polytechnic of Porto, Portugal (zav@isep.ipp.pt)
Tiago Pinto, Polytechnic of Porto, Portugal (tcp@isep.ipp.pt)
Supported by the Working Group of Intelligent Data Mining and Analysis (IDMA) and IEEE PES Task Force on Open Data Set.
Supported by IEEE CIS Task Force on ‘Computational Intelligence in the Energy Domain’.
Past Call for participation: Competition on building energy consumption forecasting
The competition will be held during a full business week (14-18 June 2021). Each day of this week participants will be asked to provide their consumption forecasts for the following day.
A Full Year of historical data is already available to enable participants to start building and refining the forecasting models. Please check the competition website for details and register to have access to the first data set: http://www.gecad.isep.ipp.pt/smartgridcompetitions/
Authors of methods that present the best results in this competition will be invited as panelists in a dedicated Panel: to take place at the 2021 IEEE Power & Energy Society General Meeting – 25-29 July 2021 (Virtual Event).
Please contact the organizers for any queries:
Zita Vale, Polytechnic of Porto, Portugal (zav@isep.ipp.pt)
Hiroyuki Mori, Meiji University, Japan (hmori@meiji.ac.jp)
Tiago Pinto, Polytechnic of Porto, Portugal (tcp@isep.ipp.pt)
Luis Gomes, Polytechnic of Porto, Portugal (log@isep.ipp.pt)
Consult, Use, Contribute, and Disseminate the Initiative of providing power system professionals with Public Data Sets
These data sets can be used in research and development activities and the obtained results can be published in scientific publications.
Please send us your comments about the data sets and feedback on the use you’re making of them. If you use any of these data sets in your scientific publications, please don’t forget to make a reference to this web page (helping us to disseminate the initiative) and to the respective references (registered in the “sources” column of the data sets table).
We also kindly ask you to inform us about your publications that use any of these data sets so that we also include them in the dataset reference list.
Please check our Call for Open Data Sets.
Chair
Zita A. Vale,
Polytechnic of Porto, Portugal
zav@isep.ipp.pt
email.zitavale@gmail.com
Vice-chair
Tiago Pinto,
Polytechnic of Porto, Portugal
tcp@isep.ipp.pt
Secretary
Hiroyuki Mori,
Meiji University, Japan
hmori@meiji.ac.jp