Time Machine Enables Realistic Power Grid Operator Training for Major Regional Grid Operator

SANTA CLARA, CA / ACCESS Newswire / March 18, 2026 / SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling ...
EE World Online

How ML and AI work in power conversion: part 2

This article digs into how machine learning (ML) and artificial intelligence (AI) contribute to the optimization of green energy systems and electric vehicles (EVs).

AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
EE World Online

How do ML and AI work in power conversion? part 1

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

Clustering-based AI forecasts river water levels using just a few long records

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...
IEEE

Adaptive Load Frequency Control Using Artificial Neural Networks for Enhancing Grid Stability in Power Systems

Abstract: This paper introduces an innovative approach to Load Frequency Control (LFC) in power systems using machine learning algorithms, specifically artificial neural networks (ANNs). Traditional ...
IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...