Power grid maintenance scheduling method based on load analysis

The invention provides a power grid maintenance scheduling method based on load analysis, and the method comprises the following steps: S1, obtaining historical meteorological data and load data of a power grid, and carrying out the normalization processing of the meteorological data and the load data; s2, determining maintenance declaration data; S3, constructing a neural network, and inputting the normalized meteorological data and load data into the neural network for training; s4, meteorological data and load data of the current power grid are obtained in real time and normalized, the normalized data are input into the neural network to be processed, and the daily power supply amount of overhaul is predicted; s5, adopting an improved particle swarm optimization algorithm to adjust the maintenance declaration data to enable the maintenance daily power supply quantity to be minimum as a target function, taking the determined maintenance declaration data as a maintenance scheduling basis when the maintenance