Offshore wind plant site selection method and device
A wind farm, deep learning technology, applied in neural learning methods, biological neural network models, predictions, etc., to achieve the effect of enhancing convergence speed, improving accuracy and efficiency, and high efficiency
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[0035] The flow chart of this embodiment is as follows figure 1 :
[0036] A site selection method for an offshore wind farm. The suitability determined by the comprehensive index is taken as the loss function, and the scale of the planned offshore wind farm, the economic index of site selection, the environmental index of site selection, and other impact indicators of site selection are considered. The specific steps are:
[0037] (1) Determine the scale of the planned offshore wind farm, the economic indicators of site selection, the environmental indicators of site selection and other impact indicators of site selection. The scale indicators of the planned offshore wind farm include the number of wind turbines, the estimated The richness of wind energy resources, the degree of development of the local city, grid connection conditions, construction costs and scale difficulty, the environmental indicators of site selection include the hydrogeological conditions of the site ...
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