Abstract: A video processing method applied to a splicing screen is provided, including: dividing each frame of an initial video into multiple sub-images; and forming sub-videos using all the sub-images, the initial video and each sub-video including M frames, M being an integer greater than 1, and durations of individual frames of the sub-videos being the same, wherein i-th frames of all sub-videos are spliced into an i-th frame of the initial video, and a relative position of the i-th frame of any sub-video in the i-th frame of the initial video is the same as a relative position of any other frame of the sub-video in a corresponding frame of the initial video, where i is a variable whose value is a natural number from 1 to M. A dividing task distribution method, a computer-readable storage medium, a scheduling server, an execution server and a video processing system are provided.

Abstract: The present invention relates to a load forecasting method based on a multi-energy coupling scene, which comprises the following steps: step 1, establishing a multilevel indicator system of key influencing factors of load demand in a multi-energy mode; step 2, obtaining key influencing factors influencing the total load demand and the total supply of the multi-energy coupling load; step 3, normalizing the data of the key influencing factors extracted in step 2, and initializing population characteristic parameters of adaptive firework algorithm (AFWA); step 4, forecasting the regional total power demand and regional coupling power supply respectively by adopting LSSVM optimized by the AFWA algorithm; and step 5, forecasting the net power load demand on the regional coupling power supply. The present invention improves the calculation efficiency and model stability and also ensures the forecasting accuracy.

Abstract: The invention relates to a multi-subject flexible energy block bidding transaction system and method in a power market. The system includes a login authentication module, a data input module, a first processing module, a second processing module, a third processing module, a data verifying module and an output module, wherein the login authentication module is configured for self-identity confirmation of a power market subject and selecting a power transaction declaration mode; the data input module is configured for inputting an electricity price, an electricity quantity and corresponding time information; the three processing modules carry out matching under different modes, the data verifying module receives matching results obtained by each processing module and carries out safety verification, and the output module outputs final trading results of an electricity quantity and an electricity price of each subject in the power market.

Abstract: The present invention relates to a load forecasting method based on a multi-energy coupling scene, which comprises the following steps: step 1, establishing a multilevel indicator system of key influencing factors of load demand in a multi-energy mode; step 2, obtaining key influencing factors influencing the total load demand and the total supply of the multi-energy coupling load; step 3, normalizing the data of the key influencing factors extracted in step 2, and initializing population characteristic parameters of adaptive firework algorithm (AFWA); step 4, forecasting the regional total power demand and regional coupling power supply respectively by adopting LSSVM optimized by the AFWA algorithm; and step 5, forecasting the net power load demand on the regional coupling power supply. The present invention improves the calculation efficiency and model stability and also ensures the forecasting accuracy.