Mathematical modeling allows designers to find the best switching frequency, best components, compare two sets of components and optimize the system for any conditions that the application requires ...

Power, heat, and their combined effects on aging and reliability, are becoming increasingly critical variables in the design of chips that will be used across a variety of new and existing markets. As ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

In an era of increasing penetration of renewable energy and enhanced complexity in electrical networks, dynamic load modelling has emerged as a crucial research area. This approach involves developing ...

Today’s electronic systems are becoming more and more complex, with an increasing number of power rails and supplies. To achieve optimum power solution density, reliability and cost, often system ...

Power, once considered an all-but afterthought in system design and well behind performance and area, now leads as the first consideration in PPA (power, performance, area). Dynamic power consumption ...

Traditional power plant performance indicators do not always provide reconcilable data. This means plant personnel may be making operational changes based on inaccurate information. An innovative data ...

IRVINE, Calif.--(BUSINESS WIRE)--ETAP®, the leading provider of software solutions for the design, analysis, optimization, and real-time operation of electrical power systems, today announced the ...

Power modeling has been talked about for years and promoted by EDA vendors and chipmakers as an increasingly important tool for advanced designs. But unlike hardware and software modeling, which have ...

At first brush, power electronics do not have the glamorous appeal that we’ve come to associate with the nanotechnology revolution in the past two to three decades. Evaluated solely on the basis of ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.