Abstract: A building photovoltaic data interpolation method based on WGAN and whale optimization algorithm is provided, which includes: obtaining historical building roof photovoltaic output data, perform preprocessing on the historical building roof photovoltaic output data, and uses CNN to build a GAN; describing missing value position of preprocessed data by using a binary mask matrix, and setting Wasserstein distance to define a loss function of a GAN generator and a discriminator; taking the loss function as a fitness function, optimizing an input to the GAN generator through a whale optimization algorithm and obtaining optimized candidate samples; fusing the optimized candidate samples and a photovoltaic data processed by the binary mask matrix to obtain completed reconstructed samples, so as to improve the complementary accuracy, optimize the random noise, remove the unfavorable influencing components, and provide services for building rooftop PV data interpolation more accurately.

Abstract: A foldable adjustable photovoltaic module, comprising angle adjusting device, comprising adjusting component and basic photovoltaic panel on the adjusting component; and folding device, comprising first and second folding components, is provided. One end of the basic photovoltaic panel is installed with protective photovoltaic panel, and the first folding component is between the basic and the protective photovoltaic panels. Both sides of the basic and the protective photovoltaic panels are provided with side photovoltaic panels, and the second folding component connects the side photovoltaic panels, the basic photovoltaic panel and the protective photovoltaic panel. The module can control multiple photovoltaic panels for angle adjustment, so as to conveniently obtain the optimal illumination angle.