Research graph
References from An SBOA-optimized hybrid grey-seasonal model for nonlinear energy production forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
10.1007/s00521-022-07724-1 · 2023 · External reference
Improving grey prediction model and its application in predicting the number of users of a public road transportation system
10.1515/jisys-2019-0082 · 2020 · External reference
A novel ensemble learning-based grey model for electricity supply forecasting in China
10.3934/math.2021714 · 2021 · External reference
Interval forecasting with grey models: a novel learning procedure for improved decision-making
10.1108/gs-11-2024-0135 · 2025 · External reference
Time series interval forecast using GM(1,1) and NGBM(1, 1) models
10.1007/s00500-017-2876-0 · 2019 · External reference
Improved complete ensemble EMD: a suitable tool for biomedical signal processing
10.1016/j.bspc.2014.06.009 · 2014 · External reference
Introduction to grey system theory
1989 · External reference
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
10.1007/s10462-024-10729-y · 2024 · External reference
Forecasting seasonals and trends by exponentially weighted moving averages
10.1016/j.ijforecast.2003.09.015 · 2004 · External reference
Forecast combination using grey prediction with fuzzy integral and time-varying weighting in tourism
10.1108/gs-04-2023-0037 · 2023 · External reference
Data decomposition method combining permutation entropy and spectral substitution with ensemble empirical mode decomposition
10.1016/j.measurement.2019.01.026 · 2019 · External reference
A seasonal grey model with three parameter-interval grey numbers for forecasting natural gas production
10.1108/gs-04-2025-0049 · 2026 · External reference
Fusion of PSO-SVM and ICEEMDAN for high-stability GNSS-MR sea-level height estimation
10.1080/27669645.2024.2331328 · 2024 · External reference
Grey relational grade in local support vector regression for financial time series prediction
10.1016/j.eswa.2011.07.100 · 2012 · External reference
The optimal path for China to achieve the ‘Dual Carbon’ target from the perspective of energy structure optimization
10.3390/su151310305 · 2023 · External reference
Interval grey prediction models with forecast combination for energy demand forecasting
10.3390/math8060960 · 2020 · External reference
Machine learning-based time series models for effective CO2 emission prediction in India
10.1007/s11356-022-21723-8 · 2023 · External reference
Evaluation and analysis of the entropy weight method and fractional grey model study on the development of modern agriculture in Huizhou
10.1155/2021/5543368 · 2021 · External reference
A novel repeatable discrete grey power model and its applications in energy forecasting
10.1108/gs-07-2025-0084 · 2026 · External reference
Forecasting the gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
10.1016/j.eswa.2022.117847 · 2022 · External reference
A brief introduction to grey systems theory
10.1109/gsis.2011.6044018 · 2011 · External reference
Prediction of the energy consumption variation trend in South Africa based on the ARIMA, NGM, and NGM-ARIMA models
10.3390/en13010010 · 2020 · External reference
The conformable fractional grey system model
10.1016/j.isatra.2019.07.009 · 2020 · External reference
Energy models for demand forecasting: a review
10.1016/j.rser.2011.08.014 · 2012 · External reference
Grey multivariable prediction model of energy consumption with different fractional orders
10.3390/su142416426 · 2022 · External reference
Decomposition-clustering-ensemble learning approach for solar radiation forecasting
10.1016/j.solener.2018.02.006 · 2018 · External reference
Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform
10.1016/j.energy.2016.10.120 · 2017 · External reference
Application of the novel fractional grey model FAGMO (1, 1,k) to predict China's nuclear energy consumption
10.1016/j.energy.2018.09.155 · 2018 · External reference
Analysis of novel FAGM (1, 1, tα) model to forecast health expenditure of China
10.1108/gs-11-2018-0053 · 2019 · External reference
Improved EEMD-based crude oil price forecasting using LSTM networks
10.1016/j.physa.2018.09.120 · 2019 · External reference
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
10.1016/j.renene.2019.03.006 · 2019 · External reference
A new multivariate grey prediction model for forecasting China's regional energy consumption
10.1007/s10668-022-02238-1 · 2023 · External reference
An improved grey neural network forecasting method based on genetic algorithm for oil consumption of China
10.1063/1.4944977 · 2016 · External reference
Electric supply and demand forecasting using seasonal grey model based on PSO-SVR
10.1108/gs-10-2021-0159 · 2023 · External reference
A clean energy forecasting model based on artificial intelligence and fractional derivative grey Bernoulli models
10.1108/gs-08-2020-0101 · 2021 · External reference
Challenges toward carbon neutrality in China: strategies and countermeasures
10.1016/j.resconrec.2021.105959 · 2022 · External reference
A novel discrete grey seasonal model and its applications
10.1016/j.cnsns.2020.105493 · 2021 · External reference
Time series interval forecast using GM(1,1) and NGBM(1, 1) models
10.1007/s00500-017-2876-0 · ExternalCitation · doi-reference
Support vector regression (SVR) and grey wolf optimization (GWO) to predict the compressive strength of GGBFS-based geopolymer concrete
10.1007/s00521-022-07724-1 · ExternalCitation · doi-reference
Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
10.1007/s10462-024-10729-y · ExternalCitation · doi-reference
A new multivariate grey prediction model for forecasting China's regional energy consumption
10.1007/s10668-022-02238-1 · ExternalCitation · doi-reference
Machine learning-based time series models for effective CO2 emission prediction in India
10.1007/s11356-022-21723-8 · ExternalCitation · doi-reference
Improved complete ensemble EMD: a suitable tool for biomedical signal processing
10.1016/j.bspc.2014.06.009 · ExternalCitation · doi-reference
A novel discrete grey seasonal model and its applications
10.1016/j.cnsns.2020.105493 · ExternalCitation · doi-reference
Research on China's energy supply and demand using an improved Grey-Markov chain model based on wavelet transform
10.1016/j.energy.2016.10.120 · ExternalCitation · doi-reference
Application of the novel fractional grey model FAGMO (1, 1,k) to predict China's nuclear energy consumption
10.1016/j.energy.2018.09.155 · ExternalCitation · doi-reference
Grey relational grade in local support vector regression for financial time series prediction
10.1016/j.eswa.2011.07.100 · ExternalCitation · doi-reference
Forecasting the gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM
10.1016/j.eswa.2022.117847 · ExternalCitation · doi-reference
Forecasting seasonals and trends by exponentially weighted moving averages
10.1016/j.ijforecast.2003.09.015 · ExternalCitation · doi-reference
The conformable fractional grey system model
10.1016/j.isatra.2019.07.009 · ExternalCitation · doi-reference
Data decomposition method combining permutation entropy and spectral substitution with ensemble empirical mode decomposition
10.1016/j.measurement.2019.01.026 · ExternalCitation · doi-reference
Improved EEMD-based crude oil price forecasting using LSTM networks
10.1016/j.physa.2018.09.120 · ExternalCitation · doi-reference
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
10.1016/j.renene.2019.03.006 · ExternalCitation · doi-reference
Challenges toward carbon neutrality in China: strategies and countermeasures
10.1016/j.resconrec.2021.105959 · ExternalCitation · doi-reference
Energy models for demand forecasting: a review
10.1016/j.rser.2011.08.014 · ExternalCitation · doi-reference
Decomposition-clustering-ensemble learning approach for solar radiation forecasting
10.1016/j.solener.2018.02.006 · ExternalCitation · doi-reference
An improved grey neural network forecasting method based on genetic algorithm for oil consumption of China
10.1063/1.4944977 · ExternalCitation · doi-reference
Fusion of PSO-SVM and ICEEMDAN for high-stability GNSS-MR sea-level height estimation
10.1080/27669645.2024.2331328 · ExternalCitation · doi-reference
Forecast combination using grey prediction with fuzzy integral and time-varying weighting in tourism
10.1108/gs-04-2023-0037 · ExternalCitation · doi-reference
A seasonal grey model with three parameter-interval grey numbers for forecasting natural gas production
10.1108/gs-04-2025-0049 · ExternalCitation · doi-reference
A novel repeatable discrete grey power model and its applications in energy forecasting
10.1108/gs-07-2025-0084 · ExternalCitation · doi-reference
A clean energy forecasting model based on artificial intelligence and fractional derivative grey Bernoulli models
10.1108/gs-08-2020-0101 · ExternalCitation · doi-reference
Electric supply and demand forecasting using seasonal grey model based on PSO-SVR
10.1108/gs-10-2021-0159 · ExternalCitation · doi-reference
Analysis of novel FAGM (1, 1, tα) model to forecast health expenditure of China
10.1108/gs-11-2018-0053 · ExternalCitation · doi-reference
Interval forecasting with grey models: a novel learning procedure for improved decision-making
10.1108/gs-11-2024-0135 · ExternalCitation · doi-reference
A brief introduction to grey systems theory
10.1109/gsis.2011.6044018 · ExternalCitation · doi-reference
Evaluation and analysis of the entropy weight method and fractional grey model study on the development of modern agriculture in Huizhou
10.1155/2021/5543368 · ExternalCitation · doi-reference
Improving grey prediction model and its application in predicting the number of users of a public road transportation system
10.1515/jisys-2019-0082 · ExternalCitation · doi-reference
Prediction of the energy consumption variation trend in South Africa based on the ARIMA, NGM, and NGM-ARIMA models
10.3390/en13010010 · ExternalCitation · doi-reference
Interval grey prediction models with forecast combination for energy demand forecasting
10.3390/math8060960 · ExternalCitation · doi-reference
Grey multivariable prediction model of energy consumption with different fractional orders
10.3390/su142416426 · ExternalCitation · doi-reference
The optimal path for China to achieve the ‘Dual Carbon’ target from the perspective of energy structure optimization
10.3390/su151310305 · ExternalCitation · doi-reference
A novel ensemble learning-based grey model for electricity supply forecasting in China
10.3934/math.2021714 · ExternalCitation · doi-reference
