IEEE

Fast-Converging Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems Under Transient Security Constraints

Abstract: Power system optimal dispatch with transient security constraints is commonly represented as transient security-constrained optimal power flow (TSC-OPF). Deep reinforcement learning ...

Vertiv: Remains A Fantastic Pick-And-Shovel AI Play

Vertiv is well-positioned to benefit from accelerating industry growth and robust demand. Read why I maintain a bullish ...
IEEE

Multiple Time Scale Deep Expert System for Load Forecasting of Electric Vehicle Charging Stations

Abstract: Different types of electric vehicle charging stations (EVCSs) exhibit varying characteristics as affected by time-of-use (TOU) pricing rates for their peak, sharp, and valley periods. This ...
ENDURO Mountainbike Magazine

Deep Dive: Vertical Range, Range and Efficiency: Which Motor System Gets the Most Out of Every Watt-Hour?

How far will an eMTB take you on a single charge? In our deep dive, we analyse the maximum range, efficiency and energy consumption of modern eMTB motors.
Cyclingnews

Cycling's latest technological advance? Teams cars fitted with satellite internet for data, streaming and communications marginal gain

More and more teams are using satellite internet systems to provide fast and stable data and video in their team cars, ...