Chu Zhang

发表

Design of a multi-mode intelligent model predictive control strategy for hydroelectric generating unit

Chu Zhang, Yang Zheng, Wenlong Fu, 2016, Neurocomputing.

A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting

M. S. Nazir, Tian Peng, Chu Zhang, 2022, International Journal of Electrical Power & Energy Systems.

Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks

Tian Peng, Jian-zhong Zhou, Chu Zhang, 2017 .

An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting

Chu Zhang, Jianzhong Zhou, Tian Peng, 2021 .

Multiobjective Optimal Control for Hydraulic Turbine Governing System Based on an Improved MOGWO Algorithm

Xiaolu Wang, Chu Zhang, Xin Xia, 2019, Complex..

Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function

Chaoshun Li, Nan Zhang, Xiaoming Xue, 2020, IEEE Access.

Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine

Chu Zhang, Yang Zheng, Jianzhong Zhou, 2017 .

An integrated framework of gated recurrent unit based on improved sine cosine algorithm for photovoltaic power forecasting

M. S. Nazir, Tian Peng, Chu Zhang, 2022, Energy.

An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC

M. S. Nazir, Tian Peng, Chu Zhang, 2023, Applied Energy.

A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine

Wenlong Fu, Jiawen Tan, Kai Wang, 2019, Trans. Inst. Meas. Control.

Data Pre-Analysis and Ensemble of Various Artificial Neural Networks for Monthly Streamflow Forecasting

Chu Zhang, Na Sun, Jianzhong Zhou, 2018 .

A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction.

M. S. Nazir, Tian Peng, Chu Zhang, 2022, Environmental research.

Parameter Identification of Pump Turbine Governing System Using an Improved Backtracking Search Algorithm

Chu Zhang, Tian Peng, Yanhe Xu, 2018, Energies.

Multi-step ahead wind speed forecasting approach coupling maximal overlap discrete wavelet transform, improved grey wolf optimization algorithm and long short-term memory

Tian Peng, Wei Sun, Yiman Li, 2022, Renewable Energy.

Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction

M. S. Nazir, Tian Peng, Yiman Li, 2022, Sustainable Cities and Society.

Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting

Chu Zhang, Jianzhong Zhou, Tian Peng, 2020 .

A Real-Time Accurate Model and Its Predictive Fuzzy PID Controller for Pumped Storage Unit via Error Compensation

Chu Zhang, Jianzhong Zhou, Chaoshun Li, 2017 .

An Intelligent Optimization Method for Vortex-Induced Vibration Reducing and Performance Improving in a Large Francis Turbine

Chu Zhang, Yanhe Xu, Jianzhong Zhou, 2017 .

Development and application of an evolutionary deep learning framework of LSTM based on improved grasshopper optimization algorithm for short-term load forecasting

M. S. Nazir, Tian Peng, Chu Zhang, 2022, Journal of Building Engineering.

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

Chu Zhang, Wenlong Fu, Jianzhong Zhou, 2017 .

An evolutionary robust solar radiation prediction model based on WT-CEEMDAN and IASO-optimized outlier robust extreme learning machine

Tian Peng, Chunlei Ji, Lei Hua, 2022, Applied Energy.

Developing an evolutionary deep learning framework with random forest feature selection and improved flow direction algorithm for NOx concentration prediction

M. S. Nazir, Tian Peng, Huixin Ma, 2023, Engineering Applications of Artificial Intelligence.

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction

M. S. Nazir, Tian Peng, Zihan Tao, 2022, Energy.

An evolutionary deep learning soft sensor model based on random forest feature selection technique for penicillin fermentation process.

M. S. Nazir, Yiman Li, Wei Sun, 2022, ISA transactions.

An evolutionary deep learning model based on TVFEMD, improved sine cosine algorithm, CNN and BiLSTM for wind speed prediction

M. S. Nazir, Tian Peng, Chu Zhang, 2022, Energy.

A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables

M. S. Nazir, Tian Peng, Chu Zhang, 2022, Electric Power Systems Research.

Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization algorithm

M. S. Nazir, Tian Peng, Yuhan Wang, 2023, Energy.

Hybrid short-term runoff prediction model based on optimal variational mode decomposition, improved Harris hawks algorithm and long short-term memory network

Tian Peng, Wei Sun, Yuanlin Luo, 2022, Environmental Research Communications.

Evolutionary gate recurrent unit coupling convolutional neural network and improved manta ray foraging optimization algorithm for performance degradation prediction of PEMFC

M. S. Nazir, Tian Peng, Zihan Tao, 2023, Applied Energy.

Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short-term wind speed prediction

M. S. Nazir, Tian Peng, Huixin Ma, 2022, Renewable Energy.

Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization algorithm

Tian Peng, Shihao Song, Yuhan Wang, 2023, Energy.

An evolutionary robust soft measurement technique via enhanced atom search optimization and outlier robust extreme learning machine for wastewater treatment process

M. S. Nazir, Tian Peng, Zihan Tao, 2023, Journal of Water Process Engineering.

Metaheuristic evolutionary deep learning model based on temporal convolutional network, improved aquila optimizer and random forest for rainfall-runoff simulation and multi-step runoff prediction

Tian Peng, Yue Zhang, Yuhan Wang, 2023, Expert Syst. Appl..

A soft sensor model based on CNN-BiLSTM and IHHO algorithm for Tennessee Eastman process

Tian Peng, Yiman Li, Yuhan Wang, 2023, Measurement.

A hybrid model based on synchronous optimisation for multi-step short-term wind speed forecasting

Chu Zhang, Xin Xia, Zhengguang Xiao, 2018 .

The short-term interval prediction of wind power using the deep learning model with gradient descend optimization

Geng Tang, Chu Zhang, Chaoshun Li, 2020 .

An intelligent hybrid approach for photovoltaic power forecasting using enhanced chaos game optimization algorithm and Locality sensitive hashing based Informer model

M. S. Nazir, Tian Peng, Yuhan Wang, 2023, Journal of Building Engineering.

Modeling and Combined Application of Orthogonal Chaotic NSGA-II and Improved TOPSIS to Optimize a Conceptual Hydrological Model

Na Sun, Tian Peng, Jianzhong Zhou, 2018, Water Resources Management.

Hybrid intelligent deep learning model for solar radiation forecasting using optimal variational mode decomposition and evolutionary deep belief network - Online sequential extreme learning machine

M. S. Nazir, Tian Peng, Yiman Li, 2023, Journal of Building Engineering.

System Design and Optimisation Study on a Novel CCHP System Integrated with a Hybrid Energy Storage System and an ORC

Chu Zhang, Zhang Yue, Hui Huang, 2020, Complex..

Intra- and Inter-Annual Variability of Hydrometeorological Variables in the Jinsha River Basin, Southwest China

Tian Peng, Jian-zhong Zhou, Chu Zhang, 2019, Sustainability.

Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions

Chu Zhang, Xin Xia, Wenlong Fu, 2019, Complex..

Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction.

Tian Peng, Chu Zhang, Jinlin Xiong, 2024, Environmental research.

Modeling and Synchronous Optimization of Pump Turbine Governing System Using Sparse Robust Least Squares Support Vector Machine and Hybrid Backtracking Search Algorithm

Chu Zhang, Wenlong Fu, Xiaoming Xue, 2018, Energies.