Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...

Load forecasting is a critical aspect for power systems planning, operation and control. In this paper, as part of research efforts of an ambitious project at Memorial University of Newfoundland in St ...

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Targeted at switchgear's contact temperature prediction, this paper is based on the contact temperature data of high voltage switchgear. Using the Map-reduce model to analyze and process a monitoring ...