ABSTRACT: This paper presents a time delay neural network (TDNN) model de- signed for the prediction of nitrogen oxides (NOx) and carbon monoxide (CO) ...
Jan 1, 1999 · This paper presents a time delay neural network (TDNN) model designed for the prediction of nitrogen oxides (NOx ) and carbon monoxide (CO) ...
This paper presents a time delay neural network (TDNN) model designed for the prediction of nitrogen oxides (NOx) and carbon monoxide (CO) emissions from a ...
Time Delay Neural Networks for NOx and CO Prediction in Fossil Fuel Plants ; Edition 1st Edition ; First Published 1996 ; Imprint Routledge ; eBook ISBN ...
... prediction problem based on a time series (Wang et al., 2020b). Long short-term memory (LSTM) neural networks can carry out long-term memory of data and ...
Aug 15, 2020 · This study focuses on the problem of predicting nitrogen oxide (NO x ) concentration at the inlet of selective catalytic reduction (SCR) reactors under ...
Missing: Fossil | Show results with:Fossil
Nov 7, 2024 · This study introduces a data-driven NOx emissions prediction methodology based on a multilayered Gradient Boosting Decision Tree (mGBDT) ...
To address the issue of NOx measurement delays, this study introduced a hybrid boosting model suitable for on-site implementation. The model could serve as a ...
Jan 12, 2024 · This study introduced a data-driven approach along with model-based process optimization to mitigate NOx emissions from coal-fired power plants.
Feb 5, 2020 · This work aims to provide a method to predict the NOx emission in a timely manner through the operating variables in coal-fired power plants.
Missing: Fossil | Show results with:Fossil