Thermal generator set cost budgeting method based on grey system analysis

The invention discloses a thermal generator set cost budgeting method based on grey system analysis, which comprises the following steps: screening received input data according to the range of historical data, and reserving the data in the range of historical data values; after preprocessing the data, carrying out multivariate and multi-factor correlation analysis by adopting a grey correlation analysis model to generate a grey data column; and inputting the gray data column into a power generation cost prediction model, and outputting a prediction result of the thermal power generation costunder different marginal conditions. A complete cost prediction algorithm based on a grey system analysis method can be constructed based on multiple costs and multiple variables, and the cost changeconditions of the thermal generator set under different marginal conditions are predicted. 本发明公开了一种基于灰色系统分析的火力发电机组成本预算方法，包括以下步骤：根据历史数据的范围，对接收到的输入数据进行甄别，保留在历史数据值域范围的数据；对数据进行预处理后，采用灰色关联分析模型进行多变量、多因子的关联度分析，生成灰色数据列；将灰色数据列输入发电成本预测模