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Found 2 papers, 1 papers with code
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
For the state-of-the-art (SOTA) model, the MSE is reduced by $33. 3\%$.
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network
To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.
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