Energy storage operation mode switching method and apparatus, storage medium and device

An energy storage operation mode switching method, comprising:

• S101:
• presetting a first load forecasting model:
• receiving first data, wherein the first data comprises a forecasted power of a photovoltaic (PV) system, forecasted power data of a load, actual sampled power data, daily electricity consumption schedule, meteorological data, forecasted electricity price data, state of charge (SOC) data of an energy storage system, a parameter of each aggregation unit of a power station, and a power distribution network parameter;
• inputting the first data into a neural network model for training to generate the first load forecasting model;
• and alternatively, extracting an entity from the first data, and constructing a knowledge graph according to a mapping relationship between the entity and the load to generate the first load forecasting model;
• S102:
• acquiring first user input information, wherein the first user input information is input via a means comprising voice input, quick response (QR) code scanning, or text input;
• S103:
• inputting the first user input information into a large language model (LLM) for learning, and generating a first user electricity consumption behavior model;
• S104:
• inputting a forecasting result of the first user electricity consumption behavior model and a forecasting result of the first load forecasting model into the LLM for learning, and generating a second load forecasting model;
• and
• S105:
• acquiring operational data of the PV system, inputting the operational data into the second load forecasting model to obtain a second load forecasting result, and outputting an energy storage scheduling strategy according to the second load forecasting result.