Improved weather and power utilization correlation prediction method and device based on deep learning

The invention provides a weather and power utilization correlation prediction method and device based on deep learning improvement. The method comprises the steps: obtaining power utilization historical data of a preset region, and the power utilization historical data comprises power load data and corresponding weather data which influences the power load data; preprocessing the acquired power utilization historical data of the preset area, and performing structural design on the preprocessed power utilization historical data; analyzing the correlation between the weather data and the power load by adopting a deep learning method based on the historical power consumption data after the structural design, and constructing a corresponding power load prediction model; the power load of the preset area is predicted in real time through the constructed power load prediction model, and then the enterprise pollution discharge amount is calculated. Therefore, the enterprise power consumptioncan be adjusted according