AI users and developers can now measure the amount of electricity various AI models consume to complete tasks with an ...

Citi names Texas Instruments (TXN) and Monolithic Power (MPWR) top picks as data center/AI demand lifts analog chips; see key catalysts and ...

An Australian research team has developed a five-step, rule-based method that detects and classifies underperformance in PV systems using only AC-side inverter data. Validated across more than 1,000 ...

Abstract: Maximum Power Point Tracking (MPPT) plays a crucial role in extracting optimal power from solar photovoltaic (PV) systems in extreme weather conditions. Traditional MPPT algorithms often ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

These days, the Justice Department is so busy pursuing revenge against President Donald Trump’s enemies it’s a wonder they have time to do anything else. In fact, nearly half of all FBI agents in the ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...

Abstract: Simulation coupling in power systems is essential for addressing complex, multidisciplinary challenges by integrating specialized models from diverse domains. However, existing approaches ...

The PV Fault Detection System is an advanced real-time simulation and monitoring solution for photovoltaic panels in microgrids. This project combines Digital Twin technology with ...

Meet the team of engineers at Dominion Energy who apply innovative tools to utility challenges Learn about Dominion’s journey in adopting real-time simulation and hardware-in-the-loop testing Benefits ...