1results about How to "Fast Fourier transform" patented technology

This application relates to a high-resolution reconstruction method for photovoltaic power generation data. The method includes: collecting photovoltaic data at a resolution lower than a first preset level and time-aligned weather data; performing frequency and time domain modeling on the photovoltaic data and weather data using Fourier transform to obtain input frequency domain features; selectively enhancing the input frequency domain features using learnable frequency domain channel attention to obtain a frequency-modulated sequence; and modeling the frequency-modulated sequence using a Mamba state-space network to obtain reconstructed frequency domain features; restoring the reconstructed frequency domain features to a time domain output through inverse frequency domain transform; and fusing the time domain output with the original time domain features to generate photovoltaic data and weather features at a resolution higher than a second preset level based on the fused features. This solves the problems in related technologies, such as the lack of an effective multimodal feature fusion mechanism, which makes it difficult to deeply integrate key external information such as meteorological data with the power sequence, and the bias in frequency domain modeling, tending to learn low-frequency trends while ignoring high-frequency details, leading to rapid fluctuation distortion in the reconstructed signal.