Mathematical Analysis on Power Load Characteristics and Index Using Big Data Technology

Since the reform and opening up, my country's small and medium-sized enterprises have made considerable progress and occupy an increasingly important position in the development of the national economy, whether in terms of absorbing social employment, invigorating the urban and rural economy, or paying taxes, promoting economic growth, and developing technology Innovation and other aspects have made important contributions. However, in the development process of my country's SMEs, there have been problems such as insufficient support for SMEs, extremely uneven development in various regions, and low overall industrial levels. Therefore, it is particularly important to conduct long-term and in-depth investigation and analysis of the development of small and medium-sized enterprises in different regions of our country. Based on big data, this paper analyzes and researches the characteristics of small and micro-enterprises' electric power user load and business climate index. First, it uses literature research methods to describe the characteristics of electricity consumption in different industries, and then introduces the business climate index. After collecting relevant data, the data is sorted and analyzed. In this article, we mainly summarize the prosperity index of small, medium and micro enterprises in Beijing and Tianjin.