An accurate prediction of imbalance prices is crucial for making well-informed decisions within short-term energy markets. This study proposes a two-stage probabilistic framework for the prediction of ...

Here’s what you’ll learn when you read this story. Geely, a Chinese automaker, is using AI to try and improve the thermal efficiency of its plug-in hybrid system. The AI algorithms used could ...

Offline, in real-world Los Angeles, most Angelenos are having a perfectly normal day. But online, the fires and riots are still raging. The powerful algorithms that fuel social media platforms are ...

The powerful algorithms that fuel social media platforms are feeding users days-old and sometimes completely fake content about the recent unrest in L.A., contributing to a sense of nonstop crisis ...

In this study, a comprehensive analysis of various ensemble techniques is carried out, particularly focusing on algorithms like Random Forest, Gradient Boosting, and AdaBoost, in addition to ...

An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

(4) Gradient Boosting Decision Tree (GBDT): A sequential boosting algorithm optimizing prediction residuals through additive tree construction. Selected for its superior performance on imbalanced ...

This study introduces a sophisticated supervised machine learning method for electric theft detection utilizing a customized histogram gradient boosting (HGB) algorithm. Comprehensive preprocessing, ...

Gradient Boosting Machines (GBMs) were selected because these algorithms excel at handling complex and heterogeneous data sets, making them ideal for capturing nonlinear relationships in our problem.