How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
IEEE

Novel Predictive Factors to Boost Short-Term Electricity Demand Forecasting Using Machine Learning Models

Abstract: Accurate Short-Term Load Forecasting (STLF) is essential for effective operational planning, particularly for optimizing maintenance schedules, managing power generation capacity, and ...