3results about How to "Preserve accuracy" patented technology

This application relates to the field of wind power predictive control technology, and discloses a method and apparatus for optimizing the wake of a wind power cluster based on model predictive control. The method includes: collecting the operating state variables and meteorological environment information of each wind turbine in the entire wind farm; inputting the operating state variables and meteorological environment information into a comprehensive prediction model; and outputting the future wake of each wind turbine in the entire wind farm. N p The power generation sequence at each time point; construct the objective function and constraints, and combine them with future... N p The power generation sequence at each moment determines the future power output of each wind turbine. N p The sequence of yaw angles at each moment; based on the future N p The value of the first moment in the yaw angle sequence controls the wind turbine to perform yaw actions, and forms a rolling closed-loop control according to the rolling time-domain optimization mechanism. In this way, the accuracy of the physical mechanism is preserved, while also possessing the nonlinear fitting capability of deep learning, which can improve the accuracy of overall power prediction and take into account both high-precision physical field description and fast response of cluster control.

This application relates to the field of computer vision technology, and provides a video editing method, apparatus, electronic device, and storage medium. The method includes: performing a first inverse denoising process on a first original noise latent variable at the current time step based on original video prompts to obtain a second original noise latent variable, and using the second original noise latent variable as the first original noise latent variable for the next time step; performing a second inverse denoising process on a first target noise latent variable at the current time step based on target video prompts to obtain a second target noise latent variable; and obtaining a third target noise latent variable based on the background data region of the second original noise latent variable and the second target noise latent variable, and using the third target noise latent variable as the first target noise latent variable for the next time step. The video editing method, apparatus, electronic device, and storage medium provided by this application can perform video editing tasks efficiently and at low cost.

The application provides a multi-dimensional identity recognition method and device, electronic equipment and program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: collecting video stream data containing a to-be-recognized object, extracting multi-dimensional feature information of the to-be-recognized object based on a first target image in the video stream data, recognizing the identity of the to-be-recognized object according to face information, if the recognition fails, performing target tracking on the to-be-recognized object based on a second target image before the first target image in the video stream data to determine whether a third target image containing the identity recognition result of the to-be-recognized object exists in the second target image, and if not, recognizing the identity of the to-be-recognized object according to body key point information. Through face recognition, target tracking and identity recognition based on body key points, the high accuracy of face recognition is retained, and when face recognition fails, identity recognition can be accurately performed based on body key points, so that the balance between the high accuracy and the easy failure of face recognition is achieved.