牛童｜山东科技大学｜学者主页

2026

PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction

Meng-Gang Kou, Runze Li, Tong Niu, Yuan-Sheng Qian, Zhiwu Li, Jian-Zhou Wang

Information Fusion

DOI

2026

Review of prognostics and health management for proton exchange membrane fuel cells based on interdisciplinary integration

Tong Niu, Ziliang Zhao, Jun Zhao, Zhangu Wang, Caizhi Zhang, Nataliya Ivanova, Vladislav Kudryashov, S. V. Grigoriev

Renewable and Sustainable Energy Reviews

DOI

2026

Long-Term Life Prediction of Proton Exchange Membrane Fuel Cells Based on Dynamic Mode Decomposition Optimization Model

Tong Niu, Caizhi Zhang, Kejun Deng, Ziliang Zhao, Krisztián Kun, Tao Zeng, Gang Lei, Dmitry D. Spasov, S. V. Grigoriev

IEEE Transactions on Industrial Electronics

DOI

2025

Developing an interpretable wind power forecasting system using a transformer network and transfer learning

Chaonan Tian, Tong Niu, Tao Li

Energy Conversion and Management

DOI

2025

ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids

Tong Niu, Hui Yue, T. Alskaif, Mingjian Cui, Jianzhou Wang

IEEE Transactions on Industrial Informatics

DOI

2025

A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles

Mingyang Ji, Juntao Du, Pei Du, Tong Niu, Jianzhou Wang

Applied Energy

DOI

2024

A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

Yang Zhao, Jianzhou Wang, Tong Niu, Ying Wang, Meng-Zheng Lv

Applied intelligence (Boston)

DOI

2023

WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning

Tong Niu, Jian-Zhou Wang, Pei Du, Wendong Yang

IEEE Transactions on Industrial Informatics

DOI

2022

Developing a wind power forecasting system based on deep learning with attention mechanism

Chaonan Tian, Tong Niu, Wei Wei

Energy

DOI

2022

A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting

Tong Niu, Jin-Kai Li, Wei Wei, H. Yue

Applied Energy

DOI

2021

Uncertainty Quantification Analysis of Wind Power: A Data-Driven Monitoring-Forecasting Framework

Wei Wei, Jiang Wu, Yang Yu, Tong Niu, Xinxin Deng

IEEE Access

DOI

2021

A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price

Tong Niu, Jian-Zhou Wang, Hai-Yan Lu, Wendong Yang, Pei Du

IEEE Transactions on Industrial Informatics

DOI

2020

Point and interval forecasting for metal prices based on variational mode decomposition and an optimized outlier-robust extreme learning machine

Pei Du, Jian-Zhou Wang, Wendong Yang, Tong Niu

DOI

2020

Outlier-robust hybrid electricity price forecasting model for electricity market management

Jian-Zhou Wang, Wendong Yang, Pei Du, Tong Niu

DOI

2020

An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain

Tong Niu, Lin Zhang, Bo Zhang, Bofan Yang, Sheng-Biao Wei, P. Manfredi

Mathematical Problems in Engineering

DOI

2020

A novel system for multi-step electricity price forecasting for electricity market management

Wendong Yang, Jian-Zhou Wang, Tong Niu, Pei Du

Applied Soft Computing

DOI

2020

Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price

Jian-Zhou Wang, Tong Niu, Pei Du, Wendong Yang

Applied Soft Computing

DOI

2020

A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting

Jian-Zhou Wang, Tong Niu, Hai-Yan Lu, Wendong Yang, Pei Du

IEEE Transactions on Sustainable Energy

DOI

2020

PSO-Markov residual correction method based on Verhulst-Fourier prediction model

Tong Niu, Lin Zhang, Bo Zhang, Bo Li, Baoshan Zhang, Wen-Feng Wang

Systems Science & Control Engineering

DOI

2020

Developing an online air quality warning system based on streaming data for dynamic environmental management

Jin-Kai Li, Gang Lu, Tong Niu, Jin Zhang

DOI

2019

基于GA-IBP神经网络的故障诊断方法

李波，张琳，张搏，牛童

《河南大学学报(自然科学版)》

DOI

2019

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

Wendong Yang, Jian-Zhou Wang, Hai-Yan Lu, Tong Niu, Pei Du

Journal of Cleaner Production

DOI

2019

Study on a combined prediction method based on BP neural network and improved Verhulst model

Tong Niu, Lin Zhang, Sheng-Biao Wei, Baoshan Zhang, Bo Zhang

Systems Science & Control Engineering

DOI

2019

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting

Pei Du, Jian-Zhou Wang, Yan Hao, Tong Niu, Wendong Yang

Applied Soft Computing

DOI

2019

Container throughput forecasting using a novel hybrid learning method with error correction strategy

Pei Du, Jian-Zhou Wang, Wendong Yang, Tong Niu

Knowledge-Based Systems

DOI

2019

A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

Wendong Yang, Jian-Zhou Wang, Tong Niu, Pei Du

Applied Energy

DOI

2019

A novel hybrid model for short-term wind power forecasting

Pei Du, Jian-Zhou Wang, Wendong Yang, Tong Niu

Applied Soft Computing

DOI

2018

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

Jian-Zhou Wang, Wendong Yang, Pei Du, Tong Niu

DOI

2018

Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed

Tong Niu, Jian-Zhou Wang, Hai-Yan Lu, Pei Du

DOI

2018

Multi-step ahead forecasting in electrical power system using a hybrid forecasting system

Pei Du, Jian-Zhou Wang, Wendong Yang, Tong Niu

Renewable Energy

DOI

2018

An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting

Jian-Zhou Wang, Pei Du, Hai-Yan Lu, Wendong Yang, Tong Niu

Applied Soft Computing

DOI

2018

Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

Tong Niu, Jian-Zhou Wang, Kequan Zhang, Pei Du

DOI

2018

An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms

Jian-Zhou Wang, Tong Niu, Hai-Yan Lu, Zhen-Hai Guo, Wendong Yang, Pei Du

DOI

2017

A novel hybrid system based on a new proposed algorithm-Multi-Objective Whale Optimization Algorithm for wind speed forecasting

Jian-Zhou Wang, Pei Du, Tong Niu, Wendong Yang

DOI

2017

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model

Jian-Zhou Wang, Tong Niu, Rui Wang

International Journal of Environmental Research and Public Health

DOI

Artiﬁcial Intelligence in Wind Speed Forecasting: A Review

Pei Du, Tong Niu, Mingjian Cui, Sandra Minerva Valdivia-Bautista, Jos é Antonio Dom í nguez-Navarro, Marco P é rez-Cisneros, C. mez, Beatriz Castillo-T é llez

牛童

精选作品

期刊论文

PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction

Review of prognostics and health management for proton exchange membrane fuel cells based on interdisciplinary integration

Long-Term Life Prediction of Proton Exchange Membrane Fuel Cells Based on Dynamic Mode Decomposition Optimization Model

Developing an interpretable wind power forecasting system using a transformer network and transfer learning

ETDS: A Novel Electricity Theft Detection System for Highly Unbalanced Data in Smart Grids

A novel probabilistic carbon price prediction model: Integrating the transformer framework with mixed-frequency modeling at different quartiles

A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning

Developing a wind power forecasting system based on deep learning with attention mechanism

A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting

Uncertainty Quantification Analysis of Wind Power: A Data-Driven Monitoring-Forecasting Framework

A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price

Point and interval forecasting for metal prices based on variational mode decomposition and an optimized outlier-robust extreme learning machine

Outlier-robust hybrid electricity price forecasting model for electricity market management

An Improved Prediction Model Combining Inverse Exponential Smoothing and Markov Chain

A novel system for multi-step electricity price forecasting for electricity market management

Ensemble probabilistic prediction approach for modeling uncertainty in crude oil price

A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting

PSO-Markov residual correction method based on Verhulst-Fourier prediction model

Developing an online air quality warning system based on streaming data for dynamic environmental management

基于GA-IBP神经网络的故障诊断方法

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

Study on a combined prediction method based on BP neural network and improved Verhulst model

A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting

Container throughput forecasting using a novel hybrid learning method with error correction strategy

A hybrid forecasting system based on a dual decomposition strategy and multi-objective optimization for electricity price forecasting

A novel hybrid model for short-term wind power forecasting

A novel hybrid forecasting system of wind speed based on a newly developed multi-objective sine cosine algorithm

Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed

Multi-step ahead forecasting in electrical power system using a hybrid forecasting system

An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting

Multi-step-ahead wind speed forecasting based on optimal feature selection and a modified bat algorithm with the cognition strategy

An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms

A novel hybrid system based on a new proposed algorithm-Multi-Objective Whale Optimization Algorithm for wind speed forecasting

Research and Application of an Air Quality Early Warning System Based on a Modified Least Squares Support Vector Machine and a Cloud Model

Artiﬁcial Intelligence in Wind Speed Forecasting: A Review

研究方向