Day-Ahead Electricity Demand Forecasting: Post-COVID Paradigm
- Data is now available to registered users.
- Registration closed on March 1, 2021.
- An updated dataset will be provided on March 8.
The ongoing COVID-19 related shutdowns have had a profound impact on the electric demand profiles worldwide, as governments put strict mitigation and/or suppression measures in place. The global electrical demand plummeted around the planet in March, April, and May 2020, with countries such as Spain and Italy experiencing more than 20% decrease in their usual electric consumption. In view of such massive electric demand changes, electricity network operators are facing unprecedented challenges in scheduling energy resources, as energy forecasting systems struggle to provide an accurate demand prediction. In fact, power systems operational reliability highly depends on an accurate projection of the future demand and scheduling an appropriate mixture of generation resources accordingly. Particularly, day-ahead forecasts are critical in managing market operation uncertainty. Thus, recent changes expose operators to technical and financial risks, further reinforcing the adverse economic impacts of the pandemic.
This competition aims at a detailed analysis of the impacts of the COVID-19 related measures on electricity demand, calling for strategies to mitigate the impact on day-ahead forecasting techniques’ performance. In particular, the competition is focused on day-ahead prediction of city-wide demand. The competition includes one-track only, deterministic forecasting of hourly load, 16 to 40 hours ahead.
Data includes historical demand, historical weather observations, and historical weather forecasts. Data is obtained from a real-world utility and weather service providers, and thus may be contaminated with issues such as missing periods, anomalies, etc. Details of data will be provided to registered participants.
The test data will cover 30 batches of 1-day each. Evaluation takes place in 30 phases. Contestant must provide a day-ahead forecast based on the most recent released data. More details with respect to submission rules will be released closer to the evaluation period.
- Participants with 6 or more missed submissions will be disqualified from the competition.
- Missed submissions of remaining participants, if any, will be replaced by the competition naïve benchmark.
- Participants will be ranked based on the MAE of the entire evaluation period.
- In the event of a tie (defined as statistically insignificant difference in MAE) the organisers reserve the right to decide final, potentially joint, placings at their discretion following analysis of forecast performance and receipt of documentation.
- Each day during the evaluation period, a new file will be uploaded between 12:30-1 PM EST, containing data up to 8 AM of same day.
- Submission for day-ahead forecasts of 16 to 40 hours ahead are allowed up to 11 AM EST of next day.
- Submissions should be in CSV format.
- CSV file name should be “Target Month-Target day-Last name-First Name”; for example, if the file being submitted contains predictions for March 21 (being submitted between March 20, 1 PM EST to March 21, 11 AM EST), the file name would be March-21-Farrokhabadi-Mostafa.csv
- The submitted CSV files should contain one single column of 24 float values; no header is accepted.
- Those submitting results as a group will be given the opportunity to include other members’ name in the final report and code submission.
- Multiple submissions under same name and/or email will be disqualified. Submission under emails other than those registered will be disqualified.
- Use of any exogenous input data, of any sort, except those already provided, will disqualify the participant.
- Submissions violating any of the above will be disqualified.
- The Technical Committee reserves the right to disqualify any submission deemed ineligible.
- Dec. 14, 2020: Historical data release
- Mar. 1, 2021: Registration deadline
- Mar. 15, 2021: Evaluation period starts – first batch of test data release
- Apr. 13, 2021: Evaluation period ends – last batch of test data release
- Apr. 19, 2021: Final report and code submission deadline
- May 3, 2021: Winners announced
- 1st place: $5000 USD
- 2nd place: $3500 USD
- 3rd place: $1500 USD
The Technical Committee has currently submitted a Special Issue application to an IEEE PES journal, aimed at pre-approving the competition winners for publishing in the Special Issue. The Spcial Issue is currently pending approval from the IEEE PES Publication.
- Registrants should use an official academic, government, or industry instituition email. Personal emails will not be accepted.
- The winners’ identity will be verified through official government-issued IDs before the announcement of winners.
- Dr. Jethro Browell, University of Strathclyde, Scotland
- Dr. Mostafa Farrokhabadi, BluWave-ai, Canada
- Dr. Stephen Makonin, Simon Fraser University, Canada
- Dr. Wencong Su, University of Michigan-Dearborn, US
- Dr. Yi Wang, ETH Zurich, Switzerland
- Dr. Hamidreza Zareipour, University of Calgary, Canada
- IEEE DataPort
- IEEE PES PSOPE WG on Energy Forecasting and Analytics
- IEEE Foundation Donor Supported Program
- Data is provided courtesy of BluWave-ai.
Note: The Technical Committee reserves the right to amend the rules and regulations without giving prior notification or any reasons thereof.
Please refer to the above Submission Rules.