Research graph
References from A Rational Canonical Grey Gompertz Forecasting Model Based on the Hausdorff Fractal Derivative. Local targets link to admitted publications; unresolved targets remain external evidence.
Drivers, scenario prediction and policy simulation of the carbon emission system in Fujian Province (China)
10.1016/j.jclepro.2023.140375 · 2024 · External reference
A coupled STIRPAT-SD model method for land-use carbon emission prediction and scenario simulation at the county level
10.1016/j.eiar.2024.107595 · 2024 · External reference
Accurate and efficient daily carbon emission forecasting based on improved ARIMA
10.1016/j.apenergy.2024.124232 · 2024 · External reference
Analysis of collaborative emission reduction of air pollutants and greenhouse gases under carbon neutrality target: A case study of Beijing, China
10.1007/s10098-023-02524-0 · 2024 · External reference
System dynamics prediction and development path optimization of regional carbon emissions: A case study of Tianjin
10.1016/j.rser.2023.113579 · 2023 · External reference
A dual-core system dynamics approach for carbon emission spillover effects analysis and cross-regional policy simulation
10.1016/j.jenvman.2023.119374 · 2023 · External reference
Industrial carbon emission forecasting considering external factors based on linear and machine learning models
10.1016/j.jclepro.2023.140010 · 2024 · External reference
Carbon dioxide emission typology and policy implications: Evidence from machine learning
10.1016/j.chieco.2023.101941 · 2023 · External reference
10.1007/s10668-025-07113-3
10.1007/s10668-025-07113-3 · External reference
Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
10.1016/j.apenergy.2024.122819 · 2024 · External reference
10.1080/13467581.2025.2603041
10.1080/13467581.2025.2603041 · External reference
An optimal multi-scale ensemble transformer for carbon emission allowance price prediction based on time series patching and two-stage stabilization
10.1016/j.energy.2025.136457 · 2025 · External reference
Carbon emissions forecasting based on temporal graph transformer-based attentional neural network
2024 · External reference
Energy consumption and carbon emission modeling and forecasting study with novel deep learning methods
10.1016/j.eswa.2025.128314 · 2025 · External reference
Improving carbon emission prediction with multiscale decomposition and transformer networks
2025 · External reference
Forecasting carbon dioxide emissions in Chongming: A novel hybrid forecasting model coupling gray correlation analysis and deep learning method
10.1007/s10661-024-13092-1 · 2024 · External reference
The Control problems of grey systems
1982 · External reference
A multivariate grey model of chaotic system and its application in energy consumption prediction
2026 · External reference
An innovative information accumulation multivariable grey model and its application in China’s renewable energy generation forecasting
10.1016/j.eswa.2024.124130 · 2024 · External reference
A novel fractional grey Riccati model for carbon emission prediction
10.1016/j.jclepro.2020.124471 · 2021 · External reference
10.3390/fractalfract8100597
10.3390/fractalfract8100597 · External reference
A Haavelmo grey model based on economic growth and its application to energy industry investments
10.1016/j.chaos.2024.114669 · 2024 · External reference
10.3390/fractalfract9120758
10.3390/fractalfract9120758 · External reference
Unified novel multivariate discrete grey model with cumulative time effect
10.1016/j.eswa.2024.125977 · 2025 · External reference
Dynamic seasonal-buffered nonlinear grey modeling for multivariate renewable energy production and consumption systems
10.1016/j.enconman.2025.121023 · 2026 · External reference
A novel fractional order grey Euler model and its application in clean energy prediction
10.1016/j.energy.2025.135609 · 2025 · External reference
A novel time-delay multivariable grey model and its application in predicting oil production
10.1016/j.engappai.2024.109505 · 2025 · External reference
Grey prediction model based on Euler equations and its application in highway short-term traffic flow
10.1007/s11071-024-09611-x · 2024 · External reference
On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies
1815 · External reference
A novel fractional-order discrete grey Gompertz model for analyzing the aging population in Jiangsu Province, China
10.1108/gs-01-2023-0005 · 2023 · External reference
Kernel function augmented dynamic fractional-order grey Gompertz model for forecasting energy consumption in China’s food manufacturing industry
10.1108/gs-04-2025-0036 · 2026 · External reference
Fractional Hausdorff grey model and its properties
10.1016/j.chaos.2020.109915 · 2020 · External reference
A novel time-varying parameters structural adaptive Hausdorff fractional discrete grey model and its application in renewable energy production and consumption prediction
10.1016/j.energy.2025.134877 · 2025 · External reference
Seasonal electricity consumption forecasting: An approach with novel weakening buffer operator and fractional order accumulation grey model
10.1108/gs-08-2023-0074 · 2024 · External reference
A novel seasonal grey prediction model with weighted fractional order accumulation operator and its application in natural gas production forecasting
2025 · External reference
10.1017/cbo9781139020411
10.1017/cbo9781139020411 · External reference
Unresolved reference
External reference
Particle swarm optimization
1995 · External reference
Comparing inertia weights and constriction factors in particle swarm optimization
2000 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Measurement of shock effect following change of one-child policy based on grey forecasting approach
10.1108/k-05-2017-0159 · 2018 · External reference
A novel grey forecasting model and its optimization
10.1016/j.apm.2012.09.052 · 2013 · External reference
Grey system model with the fractional order accumulation
10.1016/j.cnsns.2012.11.017 · 2013 · External reference
Automatic time series forecasting: The forecast Package for R
10.18637/jss.v027.i03 · 2008 · External reference
Forecasting sales by exponentially weighted moving averages
10.1287/mnsc.6.3.324 · 1960 · External reference
10.1109/isas60782.2023.10391644
10.1109/isas60782.2023.10391644 · External reference
Resilient energy management in hydrogen-integrated microgrids using actor-critic reinforcement learning
10.1016/j.apenergy.2026.128568 · 2026 · External reference
Analysis of collaborative emission reduction of air pollutants and greenhouse gases under carbon neutrality target: A case study of Beijing, China
10.1007/s10098-023-02524-0 · ExternalCitation · doi-reference
Forecasting carbon dioxide emissions in Chongming: A novel hybrid forecasting model coupling gray correlation analysis and deep learning method
10.1007/s10661-024-13092-1 · ExternalCitation · doi-reference
10.1007/s10668-025-07113-3
10.1007/s10668-025-07113-3 · ExternalCitation · doi-reference
Grey prediction model based on Euler equations and its application in highway short-term traffic flow
10.1007/s11071-024-09611-x · ExternalCitation · doi-reference
Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China
10.1016/j.apenergy.2024.122819 · ExternalCitation · doi-reference
Accurate and efficient daily carbon emission forecasting based on improved ARIMA
10.1016/j.apenergy.2024.124232 · ExternalCitation · doi-reference
Resilient energy management in hydrogen-integrated microgrids using actor-critic reinforcement learning
10.1016/j.apenergy.2026.128568 · ExternalCitation · doi-reference
A novel grey forecasting model and its optimization
10.1016/j.apm.2012.09.052 · ExternalCitation · doi-reference
Fractional Hausdorff grey model and its properties
10.1016/j.chaos.2020.109915 · ExternalCitation · doi-reference
A Haavelmo grey model based on economic growth and its application to energy industry investments
10.1016/j.chaos.2024.114669 · ExternalCitation · doi-reference
Carbon dioxide emission typology and policy implications: Evidence from machine learning
10.1016/j.chieco.2023.101941 · ExternalCitation · doi-reference
Grey system model with the fractional order accumulation
10.1016/j.cnsns.2012.11.017 · ExternalCitation · doi-reference
A coupled STIRPAT-SD model method for land-use carbon emission prediction and scenario simulation at the county level
10.1016/j.eiar.2024.107595 · ExternalCitation · doi-reference
Dynamic seasonal-buffered nonlinear grey modeling for multivariate renewable energy production and consumption systems
10.1016/j.enconman.2025.121023 · ExternalCitation · doi-reference
A novel time-varying parameters structural adaptive Hausdorff fractional discrete grey model and its application in renewable energy production and consumption prediction
10.1016/j.energy.2025.134877 · ExternalCitation · doi-reference
A novel fractional order grey Euler model and its application in clean energy prediction
10.1016/j.energy.2025.135609 · ExternalCitation · doi-reference
An optimal multi-scale ensemble transformer for carbon emission allowance price prediction based on time series patching and two-stage stabilization
10.1016/j.energy.2025.136457 · ExternalCitation · doi-reference
A novel time-delay multivariable grey model and its application in predicting oil production
10.1016/j.engappai.2024.109505 · ExternalCitation · doi-reference
An innovative information accumulation multivariable grey model and its application in China’s renewable energy generation forecasting
10.1016/j.eswa.2024.124130 · ExternalCitation · doi-reference
Unified novel multivariate discrete grey model with cumulative time effect
10.1016/j.eswa.2024.125977 · ExternalCitation · doi-reference
Energy consumption and carbon emission modeling and forecasting study with novel deep learning methods
10.1016/j.eswa.2025.128314 · ExternalCitation · doi-reference
A novel fractional grey Riccati model for carbon emission prediction
10.1016/j.jclepro.2020.124471 · ExternalCitation · doi-reference
Industrial carbon emission forecasting considering external factors based on linear and machine learning models
10.1016/j.jclepro.2023.140010 · ExternalCitation · doi-reference
Drivers, scenario prediction and policy simulation of the carbon emission system in Fujian Province (China)
10.1016/j.jclepro.2023.140375 · ExternalCitation · doi-reference
A dual-core system dynamics approach for carbon emission spillover effects analysis and cross-regional policy simulation
10.1016/j.jenvman.2023.119374 · ExternalCitation · doi-reference
System dynamics prediction and development path optimization of regional carbon emissions: A case study of Tianjin
10.1016/j.rser.2023.113579 · ExternalCitation · doi-reference
10.1017/cbo9781139020411
10.1017/cbo9781139020411 · ExternalCitation · doi-reference
10.1080/13467581.2025.2603041
10.1080/13467581.2025.2603041 · ExternalCitation · doi-reference
A novel fractional-order discrete grey Gompertz model for analyzing the aging population in Jiangsu Province, China
10.1108/gs-01-2023-0005 · ExternalCitation · doi-reference
Kernel function augmented dynamic fractional-order grey Gompertz model for forecasting energy consumption in China’s food manufacturing industry
10.1108/gs-04-2025-0036 · ExternalCitation · doi-reference
Seasonal electricity consumption forecasting: An approach with novel weakening buffer operator and fractional order accumulation grey model
10.1108/gs-08-2023-0074 · ExternalCitation · doi-reference
Measurement of shock effect following change of one-child policy based on grey forecasting approach
10.1108/k-05-2017-0159 · ExternalCitation · doi-reference
10.1109/isas60782.2023.10391644
10.1109/isas60782.2023.10391644 · ExternalCitation · doi-reference
Forecasting sales by exponentially weighted moving averages
10.1287/mnsc.6.3.324 · ExternalCitation · doi-reference
Automatic time series forecasting: The forecast Package for R
10.18637/jss.v027.i03 · ExternalCitation · doi-reference
10.3390/fractalfract8100597
10.3390/fractalfract8100597 · ExternalCitation · doi-reference
10.3390/fractalfract9120758
10.3390/fractalfract9120758 · ExternalCitation · doi-reference
