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Dataset transformations trade-offs to adapt machine learning methods across domains
To prove our point, we examine dataset transformations used in the literature to adapt machine learning-based methods across domains and show that these dataset transformations are not always beneficial in terms of performance.
Operating Dynamic Reserve Dimensioning Using Probabilistic Forecasts
Results show the benefits in terms of risk reduction of considering the probabilistic forecast information into the dimensioning process of operating reserve requirements.
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