百晓学者学者目录

刘炳春

博士生导师、教授、硕士生导师,天津理工大学

精选作品

期刊论文

2026

Private charging pile sharing: Dynamic sharing strategies for mitigating supply-demand gaps

Bingchun Liu, Yunyi Wang, Cheng-Yuan Song, Xu Gao, Jiali Chen, Xiao-Bo Wang

Transport Policy

2025

Regional differences in the recycling capacity of retired batteries for new energy vehicles in China: A perspective of sales volume forecasting

Bingchun Liu, Jiali Chen, Yuan Gao, Xinming Zhang, Shiming Zhao

Transport Policy,Vol. 172

2025

Co-construction strategy of battery swapping stations and charging piles in China

Bingchun Liu, Xu Gao, Ying Wang, Shunfan Zhao

Transport Policy,Vol. 169

2025

Forecast of CO2 and Pollutant Emission Reductions from Electric Vehicles in Beijing-Tianjin-Hebei

Li Li, Honglin Liu, Bingchun Liu

Sustainability,Vol. 170, No. 140

2025

Prediction of electric vehicles CO2 emission trajectory and peak time series in China

Bingchun Liu, Zehai Wang, Mingzhao Lai, Yajie Wang

Journal Of Environmental Management,Vol. 381

2025

Conversion Potential of Renewable Energy Surplus to Methane in China Based on Power Generation Forecasting

Bingchun Liu, Xia Zhang, Yasen Zhou, Tiezhu Yuan

Sustainability,Vol. 170, No. 70

2024

The role of new energy vehicles battery recycling in reducing China's import dependance on lithium resources

Bingchun Liu, Fan Liu

Energy & Environment

2024

Matching analysis of new energy vehicle charging demand and charging infrastructure power supply capacity: A case study of China's capital Beijing

Bingchun Liu, Yuhang Wang, Shuai Wang

Energy & Environment

2024

Prediction and Feed-In Tariffs of Municipal Solid Waste Generation in Beijing: Based on a GRA-BiLSTM Model

Xia Zhang, Bingchun Liu

Sustainability,Vol. 16, No. 9

2024

Prediction of municipal solid waste generation and environmental risk assessment of heavy metal based on long short term memory

Bingchun Liu, Jiali Chen, Fenxiang Yang, Jin Li, Bo Yan

Environmental Earth Sciences

2024

Prediction of hydrogen production potential of wastewater based on GRA-BiLSTM model under shared socioeconomic pathway in Guangdong

Bingchun Liu, Yi-Tong Du, Mingzhao Lai

Desalination

2024

Prediction of Baltic Dry Index Based on GRA-BiLSTM Combined Model

Bingchun Liu, Xingyu Wang, Shi-Ming Zhao, Yan Xu

International Journal of Maritime Engineering

2024

Assessment of green hydrogen production by volatile renewable energy under different SSPs scenarios in China

Bingchun Liu, Mingzhao Lai, Ya-Jie Wang, Yi-Bo Wang, Jiali Chen, Chengyu Song

Renewable Energy

2024

Air pollutant prediction based on a attention mechanism model of the Yangtze River Delta region in frequent heatwaves

Bingchun Liu, Mingzhao Lai, Peng Zeng, Jiali Chen

Atmospheric research

2024

Deep decarbonization potential and implementation path under provincial differences in China's fleet electrification.

Bingchun Liu, Chengyu Song, Mingzhao Lai, Jiali Chen, Yibo Wang, Zijie Feng

Science of the Total Environment

2023

Neural network-based prediction system for port throughput: A case study of Ningbo-Zhoushan Port

Bingchun Liu, Xingyu Wang, Xiaoqin Liang

Research In Transportation Business And Management,Vol. 51

2023

Charging station forecasting and scenario analysis in China

Bingchun Liu, Jiangji Song, Qingshan Wang, Yan Xu, Yifan Liu

Transport Policy,Vol. 139

2023

Regional differences in China?s electric vehicle sales forecasting: Under supply-demand policy scenarios

Bingchun Liu, Chengyuan Song, Xiaoqin Liang, Mingzhao Lai, Zhecheng Yu, Jie Ji

Energy Policy,Vol. 177

2023

Prediction and lag analysis of public concern about air pollution based on gray relation analysis and bidirectional long short-term memory

Bing-Chun Liu, Xinpei Cao, Shi-Ming Zhao, Yan Xu

Air quality, atmosphere and health

2023

Dioxin emissions from municipal solid waste incineration in the context of waste classification policy

Bing-Chun Liu, Zhaoyang Han, Xiaoqin Liang

Atmospheric pollution research

2023

Carbon emission reduction prediction of new energy vehicles in China based on GRA-BiLSTM model

Bing-Chun Liu, Shuai Wang, Xiaoqin Liang, Zhaoyang Han

Atmospheric pollution research

2022

Prediction of SSE Shanghai Enterprises index based on bidirectional LSTM model of air pollutants

Bingchun Liu, Zhecheng Yu, Qingshan Wang, Peng Du, Xinming Zhang

Expert Systems With Applications,Vol. 204

2022

Research on regional differences of China's new energy vehicles promotion policies: A perspective of sales volume forecasting

Bing-Chun Liu, Chengyuan Song, Qingshan Wang, Xinming Zhang, Jiali Chen

Energy

2022

Prediction of wastewater discharge based on GRA-LSTM: a case study of Beijing

Bing-Chun Liu, Shuai Wang, Yan Tang, Bo Yan

Environmental science and pollution research international

2022

Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long Short-Term Memory Model

Bing-Chun Liu, Ningbo Zhang, Lingli Wang, Xinming Zhang

International Journal of Environmental Research and Public Health

2022

Regional Collaborative Forecast of Cargo Throughput in China's Circum-Bohai-Sea Region Based on LSTM Model

Junfei Cui, Bing-Chun Liu, Yan Xu, Xiaoling Guo

Computational Intelligence and Neuroscience

2022

Comprehensive evaluation of municipal solid waste power generation and carbon emission potential in Tianjin based on Grey Relation Analysis and Long Short Term Memory

Bing-Chun Liu, Zhaoyang Han, Jin Li, Bo Yan

Chemical engineering research & design

2021

基于信号改进深度学习网络的京津冀城市群二氧化氮浓度预测

宫同伟,张洋,刘炳春

《中国环境监测》

2021

基于机器学习的港口集装箱吞吐量预测

刘炳春,张鹏

《中国储运》

2021

Forecasting municipal solid waste generation in Tianjin based on long and short term memory neural network model

Xiaoqin Liang, Bing-Chun Liu, Xin Qi, E. Ji, Xiao-Gang Yu

International Journal of Environment and Pollution

2021

Air pollution concentration forecasting based on wavelet transform and combined weighting forecasting model

Bing-Chun Liu, Xiao-Gang Yu, Jiali Chen, Qingshan Wang

Atmospheric pollution research

2021

Forecasting of China’s solar PV industry installed capacity and analyzing of employment effect: based on GRA-BiLSTM model

Bing-Chun Liu, Chengyuan Song, Qingshan Wang, Yuan Wang

Environmental science and pollution research international

2021

A Novel Method for Regional NO2 Concentration Prediction Using Discrete Wavelet Transform and an LSTM Network

Bing-Chun Liu, Lei Zhang, Qingshan Wang, Jiali Chen

Computational Intelligence and Neuroscience

2021

A Long Short-Term Memory Neural Network for Daily NO2 Concentration Forecasting

Bing-Chun Liu, Xiao-Gang Yu, Qingshan Wang, Shijie Zhao, Lei Zhang

International Journal of Information Technology and Web Engineering

2021

Demand gap analysis of municipal solid waste landfill in Beijing: Based on the municipal solid waste generation.

Bing-Chun Liu, Lei Zhang, Qingshan Wang

Waste Management

2020

基于PCA-SVR模型中国工业固废产生量预测研究

刘炳春,齐鑫

《河南师范大学学报(自然科学版)》

2020

基于DWT-GRU模型的天津市NO2浓度预测研究

刘炳春,陈佳丽,郭晓玲,王庆山

《环境科学与技术》

2020

Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing

Bing-Chun Liu, Xiaoling Guo, Mingzhao Lai, Qingshan Wang

Computational Intelligence and Neuroscience

2020

Renewable Energy and Material Supply Risks: a Predictive Analysis Based on An LSTM Model

Bing-Chun Liu, Jiali Chen, Hui Wang, Qingshan Wang

Frontiers in Energy Research

2020

A Novel Deep Learning Approach for Wind Power Forecasting Based on WD-LSTM Model

Bing-Chun Liu, Shijie Zhao, Xiao-Gang Yu, Lei Zhang, Qingshan Wang

Energies

2020

Regional collaborative forecast of primary energy consumption in China, Japan and South Korea based on multi-source data combination

Bing-Chun Liu, Peng Zhang, Qingshan Wang

2019

天津港科技综合管理与服务一体化平台应用研究

刘炳春,冯绍峰

《价值工程》

2019

北京城市代谢预测研究——基于长短期记忆神经网络模型

刘炳春,齐鑫,王庆山

《地理科学进展》

2019

基于Wavelet-LSTM模型的北京空气污染物浓度预测

刘炳春,来明昭,齐鑫,王辉

《环境科学与技术》

2019

Forecasting Port Throughput Model of Tianjin Port based on Wavelet Analysis and Machine Learning

Bing-Chun Liu, Shao-Feng Feng

Proceedings of the 2018 International Symposium on Social Science and Management Innovation (SSMI 2018)

2018

基于PCA-SVR模型的中国CO2排放量预测研究

刘炳春,符川川,李健

《干旱区资源与环境》

2017

基于多维城市情报的空气质量指数协同预测研究:以京津石为例

刘炳春,郑红梅,张斌

《环境科学与技术》

2017

基于KNN&SVM的北京空气污染预测模型研究

刘炳春,符川川,李健

《产业创新研究》

2017

基于IG-LASSO模型的城市空气质量指数混合预测研究

刘炳春,郑红梅,张斌

《环境科学与技术》

2017

Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network

Bing-Chun Liu, Chuanchuan Fu, Arlene Bielefield, Yan-Quan Liu

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