Construction and application of the identification model of average electricity selling price anomaly based on the DBSCAN algorithm

Abstract

With the advancement of the market-oriented reform of electricity， a new trend of pluralistic market entities and diversified interest demands has emerged in the power reform. In order to solve the problem of a high average price level of electricity sold in the electricity market and the rising cost of electricity for some customers， the intelligent analysis of average electricity selling price anomaly of electricity selling companies is conducted first， and an analysis model for market-oriented average electricity price anomaly of retail users with electricity sales company as their agent is built. The DBSCAN clustering algorithm is used to locate retail users with electricity price anomaly， intelligently divide different groups of customers with the anomaly and conduct traceability analysis so that power grid enterprises can proactively serve customers， reduce costs， assist government decision-making， and promote market-oriented reform of electricity.

Keywords

• average retail price
• dbscan algorithm
• anomaly extraction
• cluster analysis