Research on Support Selection of Photovoltaic Power Station in Complex Environment based on SVM Machine Learning Algorithm

This paper mainly studies the support selection of photovoltaic system. In view of the characteristics of the scaffold foundation in the complex environment of land and shallow water, we consider the influencing factors such as engineering geological conditions, hydrological conditions, type of upper scaffold structure, load conditions, construction technology, construction period requirements and local experience. In combination with the construction conditions, support selection in the complex environment of land and shallow water is carried out, and the actual situation of the site is also considered, and the calculation model is determined according to the actual stress state of the support foundation. SVM machine learning is applied to the support selection research of photovoltaic power stations in the complex environment.