Joined the team
Optimizing short-term active power losses forecast
Optimizing the forecasting based on the results of these models by designing an optimization algorithm
⛶ Fullscreen
↓ Download
Optimizing short-term active power losses forecast
Currently we use a group of models to forecast the short-term (day-ahead & intraday) active power losses on the transmission grid, using statistical, machine learning, and deep learning models.
The goal of this challenge is to: Optimizing the forecasting based on the results of these models by designing an optimization algorithm, to minimize the expected forecasting error and the procurement costs Designing the visualization for presenting the final forecasting results and the performance evaluation charts
🧑🏻🏫 Swissgrid AG Liu Xiying
Event finish
2 years ago
~
flavio
Start
All attendees, sponsors, partners, volunteers and staff at our hackathon are required to agree with the Hack Code of Conduct. Organisers will enforce this code throughout the event. We expect cooperation from all participants to ensure a safe environment for everybody.
The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.