The macroscopic site selection plan for solar thermal power plants based on geographic information system and neural network model

With the establishment of the dual carbon target, solar thermal power generation projects have received widespread attention and application in China's energy sector and have gradually entered the fast lane of new energy development. However, there are many factors that restrict the development of solar thermal power generation projects, such as solar energy resources, water resources, and topographic conditions. How to reasonably and legally conduct macroscopic site selection and achieve maximum economic benefits has become an important research topic. Based on this, this paper puts forward a macroscopic site selection method based on geographic information system (GIS), which screens a large area of the target region through GIS, conducts multi-factor comprehensive evaluation, introduces the AHP and neural network method, and establishes a comprehensive evaluation model to obtain the optimal site selection area, thereby achieving the goals of quick and efficient macroscopic site selection and maximizing the power generation revenue of the project.