百晓学者学者目录

庞新富

教授、硕士生导师,沈阳工程学院

精选作品

期刊论文

2026

Early Prediction of Lithium-Ion Battery Remaining Useful Life Using a GWO-Optimized CNN–Transformer–BiGRU Network

Chongyang Wei, Xinfu Pang, Jingran Sheng, Hongxia Yu, Zedong Zheng, Pengwei Yu

Batteries

2026

Three-Objective Optimal Scheduling of Integrated Energy Systems Considering Uncertainties

Jingchun Qi, Siyuan Liu, Xinfu Pang, Yue Zhu, Wei Liu

Lecture notes in mechanical engineering

2026

Renewable uncertainty in integrated energy systems: A Q-learning-based memetic algorithm for multi-objective optimization

Jingchun Qi, Xinfu Pang, Yuyan Zhang, Yue Zhu, Zedong Zheng

Applied Intelligence

2026

Lithium-Ion Battery SOH Estimation Employing Pre-Trained Regularized BiGRU-Attention Enhanced PINN

Chongyang Wei, Siyuan Liu, Xinfu Pang, Yue Zhu, Changyong Yin, Haibo Li

Chinese Control and Decision Conference (CCDC)

2026

Bi-level optimization scheduling method for virtual power plants via Stackelberg game and Q-learning-based differential evolution

Xinfu Pang, Bin Wang, Yefeng Liu, Wei Liu, Zedong Zheng

Expert Systems with Applications

2026

Large Language Model-assisted Optimal Scheduling Method for Electric Vehicle Charging and Discharging Based on PER-DDPG Algorithm

Chunyang Zhao, Siyuan Liu, Xinfu Pang, Yue Zhu, Baozhuo Wang, Yingchun Jiang

2026

Mid-term power load forecasting using an ensemble deep learning model with BKA and CWGAN-GP enhancements

Shucheng Luo, Xiaohong Chen, Xinfu Pang, Baoshi Wang, Zedong Zheng

Scientific Reports

2026

Discrete artificial bee colony algorithm based on multiple neighborhood swaps for the hybrid flowshop scheduling problem with uncertain processing stages

Yang Yu, Xinbo Song, Zixiang Li, Liangliang Sun, Yuyan Han, Xinfu Pang, Zhujun Wang, Natalja M. Matsveichuk, Yuri N. Sotskov

Swarm and Evolutionary Computation

2026

Optimal scheduling of integrated energy systems with power-to-hydrogen for flexible supply-demand balance via Q-learning-enhanced grey wolf optimizer

Kuiyuan Pan, Tianhe Sun, Xinfu Pang, Zedong Zheng, Haibo Li

Applied Soft Computing

2026

Parallel Optimal Control Method Based on Three- Dimensional Dynamic Heat Transfer Model for Secondary Cooling Water Flow Rate in Continuous Casting

Yang Yu, shiqian zhang, Yu Wang, Liangliang Sun, Qichun Zhang, Xinfu Pang, Gang Yu, Li Fu, Zhujun Wang

IEEE Access

2025

考虑碳捕集的综合能源系统优化调度研究

唐文科,刘炜,王一堡,庞新富

《东北电力技术》

2025

基于工业负荷与电动汽车的虚拟电厂经济优化调度

王镔,田景贺,王一堡,庞新富

《东北电力技术》

2025

基于改进文化基因算法的热电联产系统灵活性改造及优化调度

王黎明,刘颖明,庞新富,王晓东,王瀚博

《太阳能学报》

2025

A two-stage surface defect segmentation method for wind turbine blades based on Deeplabv3+

Xin Li, Jinghe Tian, Xinfu Pang, Li Shen, Haibo Li, Zedong Zheng

Scientific Reports

2025

Optimal scheduling method of carbon-green certificate trading virtual power plant via Q-learning-enhanced particle swarm algorithm

Jiansheng Jin, Xinfu Pang, Baoshi Wang, Duo Wang, Zhedong Zheng

Complex & Intelligent Systems

2025

Optimal scheduling for electric vehicle charging and discharging via double Q-learning-based multi-objective particle swarm optimization

Xinfu Pang, Xinyuan Wang, Yang Yu, He Jiang, Zedong Zheng

Energy

2025

Multi-objective optimal scheduling method of integrated energy system via Q-learning-based memetic algorithm considering gas boiler and power-to-gas

Wenke Tang, Hongxia Yu, Xinfu Pang, Changyong Yin, Zedong Zheng

Energy Reports

2025

Optimized Hybrid Deep Learning Framework for Short-Term Power Load Interval Forecasting via Improved Crowned Crested Porcupine Optimization and Feature Mode Decomposition

Shucheng Luo, Xiangbin Meng, Xinfu Pang, Haibo Li, Zedong Zheng

Algorithms

2025

A self-adaptive discrete artificial bee colony algorithm based on block swap for steelmaking and continuous casting scheduling problem

Yu Yang, Guodong Yang, Qichun Zhang, Liangliang Sun, Xinfu Pang, Yefeng Liu

Applied Soft Computing

2025

A Q-Learning-Based Bi-Objective Memetic Algorithm for Electric Vehicle Charging and Discharging Schedule

Yanbo Wang, Alan Wang, Yangzi Yu, Xinfu Pang, Xiang Fang, Wei Liu

International Conference on Industrial Artificial Intelligence (IAI)

2025

Generalizable SOH Prediction Under Variable Conditions: A Hybrid Deep Learning Model Optimized by Grey Wolf Algorithm

Alan Wang, Yanbo Wang, Wei Sun, Xinfu Pang, Pengwei Yu, Haibo Li

International Conference on Industrial Artificial Intelligence (IAI)

2025

Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning

Xin Li, Jinghe Tian, Xinfu Pang, Lida Shen, Haibo Li, Zedong Zheng

Sensors

2025

A multi-objective optimal scheduling method for integrated energy system based on Q-learning genetic algorithm

Jingchun Qi, Xinfu Pang, Y. Wang, Zhao Shi, Yue Feng Zhu, Wei Liu

2025

Fast-Charging Optimization Method for Lithium-Ion Battery Packs Based on Deep Deterministic Policy Gradient Algorithm

Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Zedong Zheng

Batteries

2025

Optimal Scheduling Method for Electric Vehicle Charging and Discharging via Multi-objective Improved Barebones Particle Swarm Optimization

Xinyuan Wang, Xinfu Pang, Changfeng Luan, Jinghe Tian, Haibo Li, Wei Liu

Chinese Control and Decision Conference (CCDC)

2025

Capacity optimization configuration and multi-dimensional value evaluation of integrated energy system with power-to-hydrogen

Kuiyuan Pan, Tao Sun, Xinfu Pang, Xiaoyi Qian

PLoS ONE

2025

Optimal scheduling method for electric vehicle charging and discharging via Q-learning-based particle swarm optimization

Xinfu Pang, Xiang Fang, Yang Yu, Zedong Zheng, Haibo Li

Energy

2025

Multi-objective optimization method for charging and discharging of electric vehicles via Q-learning-based grey wolf algorithm

Zhi Zhang, Taijun Guo, Yefeng Liu, Xinfu Pang, Yi Zhang

AIMS Electronics and Electrical Engineering

2025

Economic and Low-Carbon Optimal Scheduling of Virtual Power Plants Considering Multi-Source Uncertainty Based on Differential Evolution

Bin Wang, Xinfu Pang, Yibao Wang, Yue Zhu, Wei Liu, Haibo Li

International Conference on Automation and Computing

2024

A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response

Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu

Expert Systems With Applications,Vol. 243

2024

A Discrete Brain Storm Optimization Algorithm for Hybrid Flowshop Scheduling Problems with Batch Production at Last Stage in the Steelmaking-Refining-Continuous Casting Process

Kunkun Peng, Chunjiang Zhang, Weiming Shen, Xinfu Pang, Yanlan Mei, Xudong Deng

Sensors

2024

A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electricity Price

Xinfu Pang, Wen Jia, Haibo Li, Qingzhong Gao, Wei Liu

World Electric Vehicle Journal

2024

Stacking integration algorithm based on CNN-BiLSTM-Attention with XGBoost for short-term electricity load forecasting

Shucheng Luo, Baoshi Wang, Qingzhong Gao, Y. Wang, Xinfu Pang

Energy Reports

2024

Lithium-Ion Battery Health State Estimation Based on Hierarchical Feature Construction and Adaptive Gated Sequence Network

Changfeng Luan, Fang Xu, Jun Teng, Xinfu Pang, Minglei Jia, Zhi-wei Yu

International Conference on Industrial Artificial Intelligence (IAI)

2024

Wind Turbine Blade Positioning and Defect Recognition via SCNs and YOLOv5

Yanbo Wang, Aohan Wang, Yang Yu, Xin Li, Xinfu Pang, Wei Liu

International Conference on Industrial Artificial Intelligence (IAI)

2024

An Optimal Bi-objective Scheduling Method for Charging and Discharging EVs Considering Time-of-Use Electricity Pricing

Xiang Fang, Xinfu Pang, Yanbo Wang, Yang Yu, Yingchun Jiang

2024

Estimating the Health State of Lithium-Ion Batteries Using an Adaptive Gated Sequence Network and Hierarchical Feature Construction

Ke Wang, Qingzhong Gao, Xinfu Pang, Haibo Li, Wei Liu

Batteries

2024

A Multiobjective Optimization Algorithm for Fluid Catalytic Cracking Process with Constraints and Dynamic Environments

Guanzhi Liu, Xinfu Pang, Jishen Wan

Mathematics

2024

Optimal Scheduling Method of Electric Vehicle Charging and Discharging Considering Peak Cutting and Valley Filling

Wen Jia, Xinfu Pang, Li Shen, Jinghe Tian, Yihua Ma, Liu Li

Chinese Control and Decision Conference (CCDC)

2024

Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response

Xinfu Pang, Yibao Wang, Yang Yu, Wei Liu

Energy

2024

A multi-objective scheduling method for hybrid integrated energy systems via Q-learning-based multi-population dung beetle optimizers

Naiwei Tu, Zuhao Fan, Xinfu Pang, Xin Yan, Yibao Wang, Yucheng Liu, Dong Yang

Computers & Electrical Engineering

2024

Short-term power load forecasting method based on Bagging-stochastic configuration networks

Xinfu Pang, Wei Sun, Haibo Li, Wei Liu, Changfeng Luan

PLoS ONE

2024

An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping

Yang Yu, Quan-Ke Pan, Xinfu Pang, Xiaochu Tang

IEEE Transactions on Automation Science and Engineering

2024

Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting

Yang Yu, Yu Wang, Xinfu Pang, Liangliang Sun

Computers & Mathematics with Applications

2024

Insulator Defect Recognition Based on Vision Big‐Model Transfer Learning and Stochastic Configuration Network

Siyuan Liu, Yihua Ma, Zedong Zheng, Xinfu Pang, Bingyou Li

IET Signal Processing

2023

数据-模型混合驱动的电力负荷预测与热电联产系统优化调度研究

庞新富

2023

Wear Prediction of Tool Based on Modal Decomposition and MCNN-BiLSTM

Zengpeng He, Yefeng Liu, Xinfu Pang, Qichun Zhang

Processes

2023

Parameterization optimal control of an unsteady partial differential equations with convection term by an improved three-term spectrum conjugate gradient algorithm

Yang Yu, Yu Wang, Xinfu Pang, Guodong Yang, Fengqi Zhang, Yiwen Qi

Measurement and Control

2023

Insulator Defect Detection and Recognition Utilizing Stochastic Configuration Network and Convolutional Neural Network

Siyuan Liu, Xinfu Pang, Wei Liu, Haibo Li, Yihua Ma

International Conference on Industrial Artificial Intelligence (IAI)

2023

Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Xinfu Pang, Wei Sun, Haibo Li, Yihua Ma, Xiangbin Meng, Wei Liu

Frontiers in Energy Research

2023

Harmonic/Inter-harmonic Detection Method Based on Variational Mode Decomposition and Hilbert Transform

Quanzheng Li, Xinfu Pang, Donglai Wang

IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)

2023

An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system

Liming Wang, Ying-Ming Liu, Xinfu Pang, Qimin Wang, Xiao-Dong Wang

Journal of Intelligent & Fuzzy Systems

2023

Environmental economic dispatch method of power system based on multiobjective artificial bee colony algorithm

Liming Wang, Ying-Ming Liu, Xinfu Pang, Qimin Wang, Xiao-Dong Wang

Electrical Engineering

2022

Optimal Scheduling Method of Cogeneration System with Heat Storage Device Based on Memetic Algorithm

Haibo Li, Yibao Wang, Xinfu Pang, Wei Liu, Xu Zhang

Energy Engineering

2022

Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm

Xinfu Pang, Wei Sun, Haibo Li, Yibao Wang, Changfeng Luan

PeerJ Computer Science

2022

Short-term Power Load Forecasting Based on Grey Relational Analysis and Support Vector Machine

Wei Sun, Xinfu Pang, Wei Liu, Yibao Wang, Changfeng Luan

International Conference on Industrial Artificial Intelligence (IAI)

2022

Optimal Scheduling of Cogeneration System with Heat Storage Device Based on Artificial Bee Colony Algorithm

Xinfu Pang, Xu Zhang, Wei Liu, Haibo Li, Yibao Wang

Electronics

2022

Ladle intelligent re-scheduling method in steelmaking–refining–continuous casting production process based on BP neural network working condition estimation

Wei Liu, Xinfu Pang, Haibo Li, Liangliang Sun

The International Journal of Advanced Manufacturing Technology

2022

Data-driven random forest forecasting method of monthly electricity consumption

Xinfu Pang, Changfeng Luan, Liu Li, Wei Liu, Yuancheng Zhu

Electrical Engineering

2021

Research on a Method of Ladle Scheduling Based on Rule Learning

Wei Liu, Xinfu Pang, Zongfu Hou, Shenping Yu, Haibo Li

International Conference on Industrial Artificial Intelligence (IAI)

2021

Estimation of the boundary condition of a 3D heat transfer equation using a modified hybrid conjugate gradient algorithm

Yang Yu, Xiaochuan Luo, Zhiyuan Wu, Qingxin Zhang, Yiwen Qi, Xinfu Pang

Applied Mathematical Modelling

2021

Estimation of Heat Flux in Two-Dimensional Nonhomogeneous Parabolic Equation Based on a Sufficient Descent Levenberg–Marquard Algorithm

Xinfu Pang, Yang Yu, Haibo Li, Yuan Wang, Jinhui Zhao

Journal of Mathematics

2021

RETRACTED ARTICLE: A Hybrid Intelligent Optimization Algorithm for Solving the Producing Work Order Group Furnace Problem

Yefeng Liu, Shaowu Li, Xinfu Pang, Yuan Fang Zhao, Shengping Yu

Arabian Journal for Science and Engineering

2020

基于STL模型的月售电量综合预测方法

刘莉,王彦博,庞新富,耿赫男

《控制工程》

2020

基于Copula理论的风电出力相关性研究

邢贵阳,刘莉,庞新富,王铎

《沈阳工程学院学报(自然科学版)》

2020

Comprehensive Forecasting Method of Monthly Electricity Consumption Based on Time Series Decomposition and Regression Analysis

Changfeng Luan, Xinfu Pang, Yanbo Wang, Li Liu, Shi You

International Conference on Industrial Artificial Intelligence (IAI)

2020

An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

Kunkun Peng, Xudong Deng, Chunjiang Zhang, Quan-Ke Pan, Liang Ren, Xinfu Pang

Measurement and Control

2019

基于人工神经网络的非侵入式居民用电负荷识别方法

耿赫男,刘莉,庞新富

《沈阳工程学院学报(自然科学版)》

2018

Self-Starting Analysis of New Energy System with Wind Power and Energy Storage

Aihua Wang, Hong Gang, Peng Qiu, Xiaole Luo, Xinfu Pang, Ce Zhang

Chinese Control Conference (CCC)

2018

Steelmaking-Casting of Molten Steel by Decarburization Ladle Matching

Liu Wei, Xinfu Pang, Shengping Yu, LI Cong-xin, Tianyou Chai

Mathematical Problems in Engineering

2017

An effective method for the single mode rolling planning problem of direct hot charge rolling

Xinfu Pang, Yingchun Jiang, Naiwei Tu, Hai-bo Li, Yonggang Wang, Xue-fei Xv

Chinese Control Conference (CCC)

2017

Dynamic scheduling system for steelmaking-refining-continuous casting production

Xinfu Pang, Yingchun Jiang, Liang Gao, Bo Yan Tang, Hai-bo Li, Shengping Yu, Wei Liu

Chinese Control and Decision Conference (CCDC)

2017

Intelligent Rescheduling System for Steelmaking and Continuous Casting Production

Xinfu Pang, Liang Gao, Quan-Ke Pan, Shengping Yu

Atlantis Press eBooks

2016

基于离散小波变换和小波神经网络的电能质量扰动检测与分类方法

田卫华,庞新富,孟祥斌,于宏涛,孙秋野

《电气应用》

2016

基于虚拟仪器和S变换的暂态电能质量实时监测系统

田卫华,孟祥斌,庞新富,于宏涛,包妍

《仪表技术与传感器》

2004

用电设备阻抗性质识别及其电参量测量与测试

庞新富,汪毓铎

《辽宁工业大学学报(自然科学版)》

会议论文

2025

Optimal scheduling method for multi-energy integration systems using improved backbone particle swarm optimization with multi-algorithm fusion

Wenke Tang, Xinfu Pang, Yibao Wang, Haibo Li, Wei Liu

《第44届中国控制会议论文集(13)》

2023

A Low Carbon Economic Scheduling Method of Cogeneration System Based on Memetic Algorithm

Yibao Wang, Xinfu Pang, Zhiguang Fan, Wei Liu, Li Liu

《第35届中国控制与决策会议论文集(3)》

2022

考虑需求侧响应的热-电联产系统改进文化基因调度方法与附加热源优化配置

庞新富,王一堡,尤石,刘莉,刘炜

《第33届中国过程控制会议论文集》

2021

Non-Intrusive Residential Load Decomposition Method Based on Steady State Feature Extraction

Wei Sun, Xinfu Pang, Henan Geng, Yanbo Wang, Li Liu, Song Ju

《第33届中国控制与决策会议论文集(9)》

预印本

2025

GPU-based Parameterization Optimal Control for Three-dimensional Dynamic Heat Transfer Model with Application in Continuous Casting

Yang Yu, Yu Wang, Liangliang Sun, Qichun Zhang, Xinfu Pang, Gang Yu, Li Hua Fu, Zhujun Wang

Research Square

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