660MWNOx,

Ziwei Wang1, Yongzan Zhou2, Yukun Zhu3

  • 1School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, China.

ACS omega
|November 25, 2024
PubMed
概括

本研究提出了一种新的数据驱动方法,使用多层渐变增强决策树 (mGBDT) 框架来准确预测燃煤发电厂的氧化 (NOx) 排放,改善环境控制.

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