Method and system for predicting elemental carbon content of coal in coal-fired power plant

The invention provides a coal element carbon content prediction method and system for a coal-fired power plant, and the method comprises the steps: obtaining industrial analysis data and element analysis data of coal as fired; constructing a Gaussian process regression model; performing parameter debugging on the Gaussian process regression model to obtain an element carbon content prediction model; and inputting industrial analysis data of coal as fired into the elemental carbon content prediction model to obtain a predicted value of the elemental carbon content of the coal type. According to the invention, the obtained coal quality industrial analysis data is used as model input to realize high-precision prediction of the elemental carbon content of the coal; the method is used for supervising the carbon emission accounting process of a coal-fired power generation enterprise and reducing adverse effects caused by data quality and data checking problems. 本发明提供一种燃煤电厂煤种元素碳含量预测方法和系统，其中，方法包括获取入炉煤工业分析数据和元素分析数据；构建