The Application of Elman Neural Network in Uninterrupted Maintenance of Power Grid

Abstract

Uninterrupted Maintenance of power grid is the development direction of power grid . Electricity load forecasting is the basis for non-stop maintenance and the key to power grid load migration. Therefore, this paper analyses the plans and requirements of non-stop maintenance and predicts the grid load based on the Elman algorithm, by which the load forecasts are given. A load migration model is proposed, which can select the optimal low-load area in all areas to meet the business needs of non-stop maintenance.