Research on General User Demand Response Model Technology Based on Multi-source Data Fusion

The general users refer to those whom the power grid company only has access to their historical electricity consumption data from the total meter readings, and the company is unaware of the internal details of their electricity usage. Pilot users, on the other hand, are those whose detailed historical electric energy data and their participation in demand response are known to the power grid company. Currently, the assessment of the demand response potential of general users in the power grid is typically based on modeling using the electricity and response data of pilot users and then generalizing this to the general users. However, in reality, due to factors such as their electricity consumption being replaced or transferred by gas usage, the actual response potential of these users may not align with the predicted values. Therefore, this paper considers integrating the users' electricity data with gas data to profile the general users' demand response. Here, the gas data is not obtained by the power grid company, so to address the privacy concerns of the gas company's data, a vertical federated learning framework is used to protect the data privacy of both the electricity and gas companies. Then, combining the user's electricity transfer characteristic curve and gas substitution characteristic curve, a new model is developed to depict the users' demand response profile, providing support for evaluating the potential of user load demand response.