Join leaders in Boston on March 27 for an exclusive night of networking, insights, and conversation. Request an invite here. Google’s DeepMind is using machine learning to predict the performance of ...

Folklore says the weather on Jan. 1 can hint at the year ahead. Rain on New Year’s Day: Often said to bring good luck and ...

DeepMind claims it has trained an artificial intelligence system how to predict the energy output of Google wind farms in the U.S. The variable nature of wind makes it difficult to accurately predict ...

Google's AI subsidiary DeepMind has developed a machine learning algorithm to predict the productivity of wind farms up to 36 hours in advance. The system is currently used across 700MW of wind power ...

Researchers in Denmark have recently completed the world's first successful test on a wind turbine with a laser-based anemometer built into the spinner in order to increase electricity generation. The ...

Researchers have developed a machine learning model using a physics-based simulator and real-world meteorological data to better predict offshore wind power. Rutgers researchers have developed a ...

Wind energy is notoriously mercurial, with patterns shifting drastically over the course of years, days, even minutes. These changes make scheduling power much more difficult for utilities that rely ...

Wind power has become increasingly popular, but its success is limited by the fact that wind comes and goes as it pleases, making it hard for power grids to count on the renewable energy and less ...

A model for using wind speed data to predict Pattern Energy power generation is proposed. Results were backtested with 3 years of data and show reasonable agreement between projections and actual data ...