The load resource utilization has become an important way to achieve the goal of "Chinese double carbon". As a high-quality interruptible load, the regenerative electric heating load has obvious application value on the power grid side. Based on the application of the big data classification method to reclassify the regenerative electric heating load, this paper comprehensively analyzes its operation characteristics and influencing factors. By using the hybrid decision tree method, the load models have been built. In addition, the application value of regenerative electric heating load in promoting wind power accommodation and reducing load peak-valley difference has been studied. The results show that through the pertinent adjustment of influencing factors, the operating mode of regenerative electric heating load can be flexibly adjusted to improve its application value on the power grid side.