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Optimizing short-term active power losses forecast
Optimizing the forecasting based on the results of these models by designing an optimization algorithm
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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 finished
16.09.2022 12:20
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flavio
Event started
Joined the team
02.08.2022 14:54
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darienne_hunziker
First post View challenge
02.08.2022 14:33
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darienne_hunziker