Regional Energy Prediction Model Based on CDC Model

In the scenario of carbon peak and carbon neutralization, the demand for energy consumption prediction and advance control is more urgent. In this paper, we propose a Clustering dual-path Checking (CDC) prediction model for energy consumption in the near and medium term, which enables the decomposition of energy consumption forecast to month and the rolling of monthly electricity data. Based on electric power, LSTM neural network prediction and dual-path checking and correction method are used to solve the problems of difficult statistics of energy data, difficult to obtain detailed data and difficult to have basis for energy prediction. Under the overall trend of energy consumption control, accurate prediction of energy consumption demand and the formulation of multi-path energy consumption control methods provide solutions.