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 ...

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 ...

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 ...

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 ...

The ‘first of its kind’ tool tries to accurately predict seabird colonies’ space usage to minimise negative impact from wind farms. Researchers have developed a new predictive modelling tool to better ...

One of the biggest problems with wind energy is that it's difficult to predict the behavior of the wind itself and, by extension, to plan for the amount of power wind turbines are able to generate in ...

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 ...

Scientists from the University of Oldenburg, in collaboration with engineering and manufacturing partners, have developed a more precise model to predict the mechanical forces acting on wind turbine ...