A Study on the Relationship between Maximum Power Load and Economic Variables

This paper introduces a kind of estimation method of the unobservable base maximum power load and forecasting the maximum power load, then use Hedonic Method to construct the base maximum power load index and explore its relationship with economic variables. The influence of economic and temperature factors on the power load are separated. Then the base maximum power load sequence is estimated. We use yearly and seasonal base maximum power load index of Shanghai as an example, finding that this index is highly matching with economic development, reflecting the characteristics of Shanghai industrial structure adjustment. These methods are driven by data, mining the full information of the data, providing a new view of estimating the base power load, and supporting the analysis and forecast of economy more effectively and accurately.