148 citations · 241 across the 3 of their papers we have counts for
5 papers
Auto-Encoder-Extreme Learning Machine Model for Boiler NOx Emission Concentration Prediction
Zhenhao Tang, Shikui Wang, Xiangying Chai +3
An automatic encoder (AE) extreme learning machine (ELM)-AE-ELM model is proposed to predict the NOx emission concentration based on the combination of mutual information algorithm…
Wind power ramp prediction algorithm based on wavelet deep belief network
Zhenhao Tang, Qingyu Meng, Shengxian Cao +3
The wind power ramp events threaten the power grid safety significantly. To improve the ramp prediction accuracy, a hybrid wavelet deep belief network algorithm with adaptive featu…
Data Driven based Dynamic Correction Prediction Model for NOx Emission of Coal Fired Boiler
Zhenhao Tang, Deyu Zhu, Yang Li
The real-time prediction of NOx emissions is of great significance for pollutant emission control and unit operation of coal-fired power plants. Aiming at dealing with the large ti…
Non-intrusive load decomposition based on CNN-LSTM hybrid deep learning model
Xinxin Zhou, Jingru Feng, Yang Li
With the rapid development of science and technology, the problem of energy load monitoring and decomposition of electrical equipment has been receiving widespread attention from a…
Dynamic Prediction Model for NOx Emission of SCR System Based on Hybrid Data-driven Algorithms
Zhenhao Tang, Shikui Wang, Shengxian Cao +2
Aiming at the problem that delay time is difficult to determine and prediction accuracy is low in building prediction model of SCR system, a dynamic modeling scheme based on a hybr…