Distribution network voltage trend early warning method based on evidence theory fusion quantum network

The invention discloses a distribution network voltage trend early warning method based on evidence theory fusion quantum network. The method comprises the following steps: S1, obtaining historical data of a distribution network; S2, preprocessing the historical data of the power distribution network, and dividing the historical data into a long-term (annual data) training set, a medium-term (seasonal data) training set, a short-term (week data) training set and a test set; S3, constructing an initial quantum neural network; S4, adjusting quantum neural network parameters, and training a quantum neural network model; S5, testing the neural network, and correcting a voltage trend prediction result in combination with the actual condition of the line; S6, improving the voltage trend prediction function of the quantum neural network through the DS evidence theory fusion; and S7, realizing a voltage abnormity early warning function. The invention can provide a new active prevention and control method for voltage