Shandong University

Yixiao Yu

Ming Yang

Menglin Li

A wind power prediction method and system based on a deep deterministic policy gradient (DDPG) algorithm is provided and relates to the technical field of wind power prediction. The method uses multiple different prediction methods to build a combined prediction sub-model, and then uses a DDPG algorithm to maximize discount benefit by using an agent in the algorithm to interact with an external prediction environment for constant trial-and-error attempts. Finally, the agent has a capability of perceiving the external prediction environment, and a capability of reasonably and dynamically assigning weights to various prediction sub-models in a combined model, so as to achieve an accurate prediction.

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Jinan, China

Yixiao Yu