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 ...

Artificial neural networks show promising performance in detecting correlations within data that are associated with specific outcomes. However, the black-box nature of such models can hinder the ...