Application of smart grid big data analysis in electricity price mechanism design and economic evaluation

This research explores the application of smart grid extensive data analysis in electricity price mechanism design and economic evaluation. A thorough analysis of power load data, user behavior data, and meteorological data is conducted to establish an optimized electricity price mechanism. This mechanism is expected to enhance the economic benefits of the power system and ensure its stability. First, the study uses big data technology to achieve accurate collection and processing of multi-source data, providing detailed data support for the design of electricity price mechanisms. Secondly, through time series analysis and regression modeling, the impact of the electricity price mechanism on the electricity market and user behavior was assessed. The results showed that the dynamic electricity price mechanism can significantly improve economic benefits in different seasons and load conditions. Empirical studies further prove that the optimized electricity price mechanism is effective in flattening the fluctuation of load and improving the balance between supply and demand. This study concludes that big data analytics in smart grids can optimize the electricity price mechanism and significantly enhance the economic benefits of the power system, providing a scientific basis for the sustainable development of smart grids.