Operational Study of Carbon-Free Smart Heating System for Nuclear Energy Based on Load Forecasting

This paper introduces the operation of a carbon-free smart heating system based on load forecasting. The system integrates nuclear power generation and intelligent control technology, effectively improving energy efficiency in the heating system and reducing carbon emissions. In this study, optimization algorithms and artificial intelligence techniques are utilized to address load forecasting methods, nuclear heating systems, and smart heating systems, facilitating energy scheduling optimization, real-time monitoring, and adjustment capabilities. Based on historical data and trends, load forecasting methods are proposed to guide the operation strategy of the heating system according to heating load demands. Furthermore, the carbon emission reduction techniques and contributions to sustainable development of this system are discussed. Finally, the research findings are summarized, and future research directions and improvement suggestions are outlined.