Wind turbines that use human-like learning to improve efficiency

Wind turbines are exposed to a wide variety of wind conditions, from zephyrs to gales, and ensuring the maximum amount of power is extracted from the turbine across a range of wind speeds is a difficult task. Chinese researchers have now developed a biologically inspired control system that uses “memory” of past experience to learn how to best adapt to changing conditions.

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