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

SolutionSoft Systems Inc., a leader in virtual clock and time-travel testing technology, today announced that its Time Machine software is enabling a groundbreaking operator training environment for ...
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 ...

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 ...
Devdiscourse

From transformers to microgrids: AI expands across critical energy infrastructure

Utilities worldwide are turning to artificial intelligence (AI) and machine learning to stabilize networks, forecast ...
University of Surrey

Edge AI for predictive health management of electrified vehicles

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.
Digital Trends

Michigan Dad Built a Solar Power System Using Temu and Cut His Energy Bill by 90%

With $1,300 in Temu-sourced batteries and a lot of determination, this dad of six—soon to be seven—built a custom solar system that powers his household of eight and protects his growing family from ...
techxplore

Machine learning-based design enables more efficient wireless power transfer

Wireless power transfer (WPT) systems transmit electrical energy from a power source to a load without physical connectors or wires, using electromagnetic fields. This idea goes as far back as the ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
AZoOptics

High-Power Laser Stabilization Using Machine Learning

From left to right, Berkeley Lab researchers Anthony Gonsalves, Alessio Amodio, and Dan Wang align precision optics to prepare the Berkeley Lab Laser Accelerator (BELLA) Petawatt laser for ...