Area of research
Electrical and Electronic Engineering
Research interest
Research topics from publications: Decision-Focused Learning for Power System Decision-Making Under Uncertainty. Representative work: More accurate forecasts may not necessarily lead to better decision-making. To address this challenge, decision-focused learning (DFL) has been proposed as a new branch of machine learning that replaces traditional statistical loss with a decision loss to form an end-to-end paradigm. Applications of DFL in power systems have been developed in recent years. However, existing applications remain fragmented without systematic analysis of methodologies or comparative benchmarks. This review addresses this gap by performing a set of scenario analysis, taxonomy analysis, application analysis and comparative analysis. It first illustrates the inherent mismatch between statistical accuracy and opera