Research on Multi-source Heterogeneous Data Cleaning Technology based on Integrating Neural Network with Fuzzy Rules for Renewable Energy Accommodation

In order to avoid conservative results, when calculating the ability of power system to accommodate renewable energy, social data need to be integrated. Data cleaning is an important step in integration. Traditional data cleaning methods rely only on data and ignore the implicit rules. This paper first analyzes the data requirements for renewable energy accommodation, and then proposes a data cleaning technology. This technology digs out the implicit associations between data, converts them into fuzzy rules in the form of Probabilistic soft logic (PSL), and builds a neural network based on this for data cleaning.