Abstract: A dispatching method and device for an integrated energy system is provided according to the present disclosure. The method includes: constructing an integrated energy system model and simplified component models, performing a rough optimization of a system flexibility with predicted data from renewable energy nodes; determining feasibility constraints according to flexibility optimization results; finally considering operation costs on power and heat generating sides, and implementing a real-time dispatching with real-time data from the renewable energy nodes. The method effectively combines day-ahead scheduling and real-time dispatching by fully utilizing the system flexibility to reduce impacts of prediction errors and achieves strong optimality.

Abstract: To achieve space correlation of pixel decomposition results and reduce noise problem caused by isolation, there is provided a decomposition apparatus and method for refining composition of mixed pixels in remote sensing images, including: a preprocessing step for temporarily determining the provability value of the composition ratio of the different land cover types of each pixel in the image, based on a received remote sensing image and spectral information, to obtain first material composition information; and a neighborhood correlation calculation step for analyzing the correlation between a main pixel and the neighboring areas by using the first material composition information of each of the pixels present in the neighboring areas within a predetermined range in which the pixels are adjacent to each other, and optimizing the first material composition information of the main pixel by the result of the correlation analysis, to obtain second material composition information.

Abstract: To achieve space correlation of pixel decomposition results and reduce noise problem caused by isolation, there is provided a decomposition apparatus and method for refining composition of mixed pixels in remote sensing images, including: a preprocessing step for temporarily determining the provability value of the composition ratio of the different land cover types of each pixel in the image, based on a received remote sensing image and spectral information, to obtain first material composition information; and a neighborhood correlation calculation step for analyzing the correlation between a main pixel and the neighboring areas by using the first material composition information of each of the pixels present in the neighboring areas within a predetermined range in which the pixels are adjacent to each other, and optimizing the first material composition information of the main pixel by the result of the correlation analysis, to obtain second material composition information.