Researchers have developed a quantum particle swarm optimization algorithm for maximum power point tracking that reportedly generates 3.33% more power in higher temperature tests and 0.89% more power ...

Developed by researchers in South Africa, the proposed technique is based on the water cycle algorithm (WCA), a population-based metaheuristic optimization algorithm that is inspired by the water ...

Forbes contributors publish independent expert analyses and insights. CEO, author of forthcoming book SMART POWER & host of POWER PLAY pod. INCHEON AIRPORT, SEOUL, SOUTH KOREA - 2018/06/12: A young ...

Wind power is seen as notoriously unreliable. To add some predictability to an energy source of the future, Alphabet (the parent company of Google) is digging into its machine learning know-how.

Researchers are working on a new version of an algorithm that will power better search, autonomous cars, smarter smartphones and the Internet of Things. Deep-learning algorithms, which are based on ...