Multi-region collaborative optimization method for integrated energy system

A multi-region collaborative optimization method for an integrated energy system is technically characterized by comprising the following steps: S1, establishing the integrated energy system by a distributed energy system, a controllable load system, a control center and a communication system; the control center comprises an information collection module, a storage module, a prediction analysis module, a decision analysis module and a control module; s2, establishing a weather-generating capacity prediction model through a deep learning method; s3, establishing an electricity consumption prediction model through a deep learning method; s4, establishing an electricity price prediction model through a deep learning method; s5, inputting weather forecast prediction data into the model P, the model W and the model H to respectively obtain distributed generating capacity at corresponding moments, and substituting parameters such as the distributed generating capacity into the model E to obtain electricity price P