Electric load forecasting’s accuracy and reliability are pivotal for enhancing the dispatch efficiency of power systems and the integration of renewable energy into the grid. In response to this need, ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing ...

Quantum algorithms have become a popular research domain in recent times for discovering quantum-enhanced solutions in machine learning applications. Quantum kernels are one of the directions that ...