Research graph
References from An improved Gated Recurrent Unit model with hybrid network architecture for carbon emission forecasting in Zhejiang Province. Local targets link to admitted publications; unresolved targets remain external evidence.
Pathways towards carbon neutrality in low carbon cities: The role of green patents, R&D and energy use for carbon emissions
10.1016/j.techfore.2023.123109 · 2024 · External reference
Optimizing deep learning predictive models: A comprehensive review of RNN and its variant architectures
10.1016/j.asoc.2025.114015 · 2025 · External reference
A highly effective and robust structure-based LSTM with feature-vector tuning framework for high-accuracy SOC estimation in EV
10.1016/j.energy.2025.136134 · 2025 · External reference
Machine learning applications for carbon emission estimation
2025 · External reference
On the environmental performance analysis: A combined fuzzy data envelopment analysis and artificial intelligence algorithms
10.1016/j.eswa.2023.119953 · 2023 · External reference
Day ahead carbon emission forecasting of the regional national electricity market using machine learning methods
10.1016/j.engappai.2023.106314 · 2023 · External reference
Exploiting open data for CO2 estimation via artificial intelligence and explainable AI
10.1016/j.eswa.2025.128598 · 2025 · External reference
Exploring carbon dioxide emissions forecasting in China: A policy-oriented perspective using projection pursuit regression and machine learning models
10.1016/j.techfore.2023.122872 · 2023 · External reference
CAAT: Image super-resolution algorithm via channel attention and transformer
10.1016/j.array.2025.100628 · 2025 · External reference
Dual degradation image inpainting method via adaptive feature fusion and U-net network
10.1016/j.asoc.2025.113010 · 2025 · External reference
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
10.1016/j.asoc.2023.110408 · 2023 · External reference
Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model
10.1016/j.techfore.2024.123720 · 2024 · External reference
Multimodal interval prediction of carbon dioxide emissions from heavy construction machinery: A missing-data robust inverted-transformer model considering sensors failure in complex construction environment
10.1016/j.engappai.2025.112658 · 2025 · External reference
Novel deep hybrid model for electricity price prediction based on dual decomposition
10.1016/j.apenergy.2025.126197 · 2025 · External reference
Hybrid carbon price forecasting using a deep augmented fedformer model and multimodel optimization piecewise error correction
10.1016/j.eswa.2024.123325 · 2024 · External reference
Artificial intelligence and classical statistical models for time series forecasting: A comprehensive review
10.1186/s40537-025-01318-z · 2025 · External reference
Artificial intelligence for calculating and predicting building carbon emissions: A review
10.1007/s10311-024-01799-z · 2025 · External reference
Short-term air pollution prediction using graph convolutional neural networks
10.1016/j.techfore.2024.123684 · 2024 · External reference
A radiant shift: Attention-embedded CNNs for accurate solar irradiance forecasting and prediction from sky images
10.1016/j.renene.2024.121133 · 2024 · External reference
Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries
10.1016/j.energy.2022.125650 · 2023 · External reference
Advancing short-term load forecasting with decomposed Fourier ARIMA: A case study on the greek energy market
10.1016/j.energy.2025.135854 · 2025 · External reference
A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
10.1007/s10462-025-11223-9 · 2025 · External reference
An interpretable privacy-preserving real-time carbon emission estimation approach for heterogeneous industrial enterprises
10.1016/j.engappai.2025.111420 · 2025 · External reference
A comprehensive review of S-scheme heterojunction photocatalysts for CO2 reduction: Design principles, mechanisms, and material classification
10.1016/j.jcou.2025.103087 · 2025 · External reference
Technology-driven carbon reduction: Analyzing the impact of digital technology on China’s carbon emission and its mechanism
10.1016/j.techfore.2023.123124 · 2024 · External reference
A survey of deep learning for time series forecasting: Theories, datasets, and state-of-the-art techniques
2025 · External reference
How does carbon awareness impact corporate sustainable development? evidence from China
10.1016/j.techfore.2025.124097 · 2025 · External reference
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
10.1016/j.eswa.2024.124550 · 2024 · External reference
The research of the impact of energy efficiency on mitigating greenhouse gas emissions at the national level
10.1016/j.enconman.2024.118671 · 2024 · External reference
Crude oil price forecasting: Leveraging machine learning for global economic stability
10.1016/j.techfore.2025.124133 · 2025 · External reference
An ensemble of deep learning, machine learning, and statistical methods stacked with meta-learning for forecasting net energy consumption in multi-carrier energy systems: Economic impact assessment
10.1016/j.energy.2025.139172 · 2025 · External reference
Advancements in hybrid and ensemble machine learning models for energy consumption forecasting: Results and challenges of their applications
10.1016/j.rser.2025.116095 · 2025 · External reference
Financial forecasting improvement with LSTM-ARFIMA hybrid models and non-Gaussian distributions
10.1016/j.techfore.2024.123539 · 2024 · External reference
Multi-distribution fusion based Bayesian deep neural network for short-term probabilistic electricity price forecasting
10.1016/j.apenergy.2025.126712 · 2025 · External reference
Research progress and future prospects of chemical utilization of CO2
10.1016/j.cej.2025.161579 · 2025 · External reference
A review on data-driven methods for solar energy forecasting
10.1016/j.apenergy.2025.126631 · 2025 · External reference
Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
10.1016/j.eswa.2025.126467 · 2025 · External reference
Unresolved reference
External reference
The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines
10.1016/j.engfailanal.2022.106951 · 2023 · External reference
Corrosion failure prediction in natural gas pipelines using an interpretable XGBoost model: Insights and applications
10.1016/j.energy.2025.136157 · 2025 · External reference
Enhancing the safety of energy pipeline transportation: A mechanism-morphology confidence evaluation method
10.1016/j.energy.2026.141559 · 2026 · External reference
Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping
10.1016/j.energy.2025.138967 · 2025 · External reference
A physics-informed neural network method for predicting the remaining life of energy pipelines
10.1016/j.energy.2026.141606 · 2026 · External reference
Carbon dioxide emission forecasting using BiLSTM network based on variational mode decomposition and improved black-winged kite algorithm
10.3390/math13111895 · 2025 · External reference
Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
10.1016/j.apenergy.2024.122824 · 2024 · External reference
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
10.1016/j.asoc.2024.111543 · 2024 · External reference
Forecasting monthly gas field production based on the CNN-LSTM model
10.1016/j.energy.2022.124889 · 2022 · External reference
Carbon trading price prediction with spikes: A novel hybrid model framework using heuristic multi-head attention convolutional bidirectional recurrent neural network
2025 · External reference
Dual-branch crack segmentation network with multi-shape kernel based on convolutional neural network and mamba
10.1016/j.engappai.2025.110536 · 2025 · External reference
Oil price forecasting: A hybrid GRU neural network based on decomposition-reconstruction methods
10.1016/j.eswa.2023.119617 · 2023 · External reference
Crack segmentation network via difference convolution-based encoder and hybrid CNN-Mamba multi-scale attention
10.1016/j.patcog.2025.111723 · 2025 · External reference
Carbon emissions forecasting based on a new hybrid model under carbon reduction target: A case study of eastern region in China
10.1016/j.jclepro.2025.144957 · 2025 · External reference
Accurate and efficient daily carbon emission forecasting based on improved ARIMA
10.1016/j.apenergy.2024.124232 · 2024 · External reference
A VMD-TCN-GRU hybrid model for multi-step forecasting of industrial carbon emissions in China
2025 · External reference
A hybrid LSTM and agent-based modeling framework for forecasting carbon emissions in China’s transport sector
10.1016/j.energy.2025.139300 · 2025 · External reference
Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
10.1016/j.jclepro.2024.142605 · 2024 · External reference
A hybrid model for carbon price forecasting based on improved feature extraction and non-linear integration
10.3390/math12101428 · 2024 · External reference
Artificial intelligence for calculating and predicting building carbon emissions: A review
10.1007/s10311-024-01799-z · ExternalCitation · doi-reference
A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
10.1007/s10462-025-11223-9 · ExternalCitation · doi-reference
Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
10.1016/j.apenergy.2024.122824 · ExternalCitation · doi-reference
Accurate and efficient daily carbon emission forecasting based on improved ARIMA
10.1016/j.apenergy.2024.124232 · ExternalCitation · doi-reference
Novel deep hybrid model for electricity price prediction based on dual decomposition
10.1016/j.apenergy.2025.126197 · ExternalCitation · doi-reference
A review on data-driven methods for solar energy forecasting
10.1016/j.apenergy.2025.126631 · ExternalCitation · doi-reference
Multi-distribution fusion based Bayesian deep neural network for short-term probabilistic electricity price forecasting
10.1016/j.apenergy.2025.126712 · ExternalCitation · doi-reference
CAAT: Image super-resolution algorithm via channel attention and transformer
10.1016/j.array.2025.100628 · ExternalCitation · doi-reference
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
10.1016/j.asoc.2023.110408 · ExternalCitation · doi-reference
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
10.1016/j.asoc.2024.111543 · ExternalCitation · doi-reference
Dual degradation image inpainting method via adaptive feature fusion and U-net network
10.1016/j.asoc.2025.113010 · ExternalCitation · doi-reference
Optimizing deep learning predictive models: A comprehensive review of RNN and its variant architectures
10.1016/j.asoc.2025.114015 · ExternalCitation · doi-reference
Research progress and future prospects of chemical utilization of CO2
10.1016/j.cej.2025.161579 · ExternalCitation · doi-reference
The research of the impact of energy efficiency on mitigating greenhouse gas emissions at the national level
10.1016/j.enconman.2024.118671 · ExternalCitation · doi-reference
Forecasting monthly gas field production based on the CNN-LSTM model
10.1016/j.energy.2022.124889 · ExternalCitation · doi-reference
Development of regression models to forecast the CO2 emissions from fossil fuels in the BRICS and MINT countries
10.1016/j.energy.2022.125650 · ExternalCitation · doi-reference
Advancing short-term load forecasting with decomposed Fourier ARIMA: A case study on the greek energy market
10.1016/j.energy.2025.135854 · ExternalCitation · doi-reference
A highly effective and robust structure-based LSTM with feature-vector tuning framework for high-accuracy SOC estimation in EV
10.1016/j.energy.2025.136134 · ExternalCitation · doi-reference
Corrosion failure prediction in natural gas pipelines using an interpretable XGBoost model: Insights and applications
10.1016/j.energy.2025.136157 · ExternalCitation · doi-reference
Who predicts better? A comparison of machine learning and econometrics in forecasting CO2 emissions from global shipping
10.1016/j.energy.2025.138967 · ExternalCitation · doi-reference
An ensemble of deep learning, machine learning, and statistical methods stacked with meta-learning for forecasting net energy consumption in multi-carrier energy systems: Economic impact assessment
10.1016/j.energy.2025.139172 · ExternalCitation · doi-reference
A hybrid LSTM and agent-based modeling framework for forecasting carbon emissions in China’s transport sector
10.1016/j.energy.2025.139300 · ExternalCitation · doi-reference
Enhancing the safety of energy pipeline transportation: A mechanism-morphology confidence evaluation method
10.1016/j.energy.2026.141559 · ExternalCitation · doi-reference
A physics-informed neural network method for predicting the remaining life of energy pipelines
10.1016/j.energy.2026.141606 · ExternalCitation · doi-reference
Day ahead carbon emission forecasting of the regional national electricity market using machine learning methods
10.1016/j.engappai.2023.106314 · ExternalCitation · doi-reference
Dual-branch crack segmentation network with multi-shape kernel based on convolutional neural network and mamba
10.1016/j.engappai.2025.110536 · ExternalCitation · doi-reference
An interpretable privacy-preserving real-time carbon emission estimation approach for heterogeneous industrial enterprises
10.1016/j.engappai.2025.111420 · ExternalCitation · doi-reference
Multimodal interval prediction of carbon dioxide emissions from heavy construction machinery: A missing-data robust inverted-transformer model considering sensors failure in complex construction environment
10.1016/j.engappai.2025.112658 · ExternalCitation · doi-reference
The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines
10.1016/j.engfailanal.2022.106951 · ExternalCitation · doi-reference
Oil price forecasting: A hybrid GRU neural network based on decomposition-reconstruction methods
10.1016/j.eswa.2023.119617 · ExternalCitation · doi-reference
On the environmental performance analysis: A combined fuzzy data envelopment analysis and artificial intelligence algorithms
10.1016/j.eswa.2023.119953 · ExternalCitation · doi-reference
Hybrid carbon price forecasting using a deep augmented fedformer model and multimodel optimization piecewise error correction
10.1016/j.eswa.2024.123325 · ExternalCitation · doi-reference
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
10.1016/j.eswa.2024.124550 · ExternalCitation · doi-reference
Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors
10.1016/j.eswa.2025.126467 · ExternalCitation · doi-reference
Exploiting open data for CO2 estimation via artificial intelligence and explainable AI
10.1016/j.eswa.2025.128598 · ExternalCitation · doi-reference
Innovative approach to daily carbon dioxide emission forecast based on ensemble of quantile regression and attention BILSTM
10.1016/j.jclepro.2024.142605 · ExternalCitation · doi-reference
Carbon emissions forecasting based on a new hybrid model under carbon reduction target: A case study of eastern region in China
10.1016/j.jclepro.2025.144957 · ExternalCitation · doi-reference
A comprehensive review of S-scheme heterojunction photocatalysts for CO2 reduction: Design principles, mechanisms, and material classification
10.1016/j.jcou.2025.103087 · ExternalCitation · doi-reference
Crack segmentation network via difference convolution-based encoder and hybrid CNN-Mamba multi-scale attention
10.1016/j.patcog.2025.111723 · ExternalCitation · doi-reference
A radiant shift: Attention-embedded CNNs for accurate solar irradiance forecasting and prediction from sky images
10.1016/j.renene.2024.121133 · ExternalCitation · doi-reference
Advancements in hybrid and ensemble machine learning models for energy consumption forecasting: Results and challenges of their applications
10.1016/j.rser.2025.116095 · ExternalCitation · doi-reference
Exploring carbon dioxide emissions forecasting in China: A policy-oriented perspective using projection pursuit regression and machine learning models
10.1016/j.techfore.2023.122872 · ExternalCitation · doi-reference
Pathways towards carbon neutrality in low carbon cities: The role of green patents, R&D and energy use for carbon emissions
10.1016/j.techfore.2023.123109 · ExternalCitation · doi-reference
Technology-driven carbon reduction: Analyzing the impact of digital technology on China’s carbon emission and its mechanism
10.1016/j.techfore.2023.123124 · ExternalCitation · doi-reference
Financial forecasting improvement with LSTM-ARFIMA hybrid models and non-Gaussian distributions
10.1016/j.techfore.2024.123539 · ExternalCitation · doi-reference
Short-term air pollution prediction using graph convolutional neural networks
10.1016/j.techfore.2024.123684 · ExternalCitation · doi-reference
Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model
10.1016/j.techfore.2024.123720 · ExternalCitation · doi-reference
How does carbon awareness impact corporate sustainable development? evidence from China
10.1016/j.techfore.2025.124097 · ExternalCitation · doi-reference
Crude oil price forecasting: Leveraging machine learning for global economic stability
10.1016/j.techfore.2025.124133 · ExternalCitation · doi-reference
Artificial intelligence and classical statistical models for time series forecasting: A comprehensive review
10.1186/s40537-025-01318-z · ExternalCitation · doi-reference
A hybrid model for carbon price forecasting based on improved feature extraction and non-linear integration
10.3390/math12101428 · ExternalCitation · doi-reference
Carbon dioxide emission forecasting using BiLSTM network based on variational mode decomposition and improved black-winged kite algorithm
10.3390/math13111895 · ExternalCitation · doi-reference
