Research graph
References from A multimodal feature fusion network based on multi-scale data for ultra-short-term global horizontal irradiance forecasting. Local targets link to admitted publications; unresolved targets remain external evidence.
Multi-step prediction of photovoltaic power based on two-stage decomposition and bilstm
10.1016/j.neucom.2022.06.117 · 2022 · External reference
Solar energy: potential and future prospects
10.1016/j.rser.2017.09.094 · 2018 · External reference
Using sky-classification to improve the short-term prediction of irradiance with sky images and convolutional neural networks
10.1016/j.solener.2024.112320 · 2024 · External reference
Miti-gating the impact of photovoltaic power ramps on intraday economic dispatch using reinforcement forecasting
10.1109/tste.2023.3261444 · 2024 · External reference
Challenges and solu-tion technologies for the integration of variable renewable energy sources—a review
10.1016/j.renene.2019.06.147 · 2020 · External reference
Data-driven short-term photovoltaic power forecasting under extreme weather conditions using gru-kan model
10.1016/j.renene.2025.124756 · 2026 · External reference
Numerical weather prediction (nwp) and hybrid arma/ann model to predict global radiation
10.1016/j.energy.2012.01.006 · 2012 · External reference
Comparison of different physical models for pv power output prediction
10.1016/j.solener.2015.06.017 · 2015 · External reference
Hourly forecasting of solar irradiance based on ceemdan and multi-strategy cnn-lstm neural networks
10.1016/j.renene.2020.09.141 · 2020 · External reference
Data-driven short-term solar irradiance forecasting based on information of neighboring sites
10.1109/tie.2018.2856199 · 2019 · External reference
10.1038/s41467-023-44666-1
10.1038/s41467-023-44666-1 · External reference
A ground-based cloud image classification method for photovoltaic power prediction based on convolutional neural networks and vision transformer
10.1016/j.engappai.2025.111582 · 2025 · External reference
A hybrid ensemble optimized bigru method for short-term photovoltaic generation forecasting
10.1016/j.energy.2024.131458 · 2024 · External reference
Hybrid ultra-short-term pv power forecasting system for deterministic forecasting and uncertainty analysis
10.1016/j.energy.2023.129898 · 2024 · External reference
Multistage spatio-temporal attention network based on node for short-term pv power forecasting
10.1016/j.energy.2024.130308 · 2024 · External reference
Photovoltaic power electricity generation nowcasting combining sky camera images and learning supervised algorithms in the southern spain
10.1016/j.renene.2023.01.111 · 2023 · External reference
Convolutional neural net-works for intra-hour solar forecasting based on sky image sequences
10.1016/j.apenergy.2021.118438 · 2022 · External reference
Short-term solar radia-tion forecasting with a novel image processing-based deep learning approach
10.1016/j.renene.2022.10.063 · 2022 · External reference
Sky-image-derived deep decomposition for ultra-short-term photovoltaic power forecasting
10.1109/tste.2023.3312401 · 2024 · External reference
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
10.1016/j.energy.2024.130538 · 2024 · External reference
Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting
10.1016/j.apenergy.2020.115875 · 2020 · External reference
Deep reinforce-ment learning-based self-scheduling strategy for a caes-pv system using accurate sky images-based forecasting
10.1109/tpwrs.2022.3177704 · 2023 · External reference
Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images
10.1016/j.inffus.2023.02.006 · 2023 · External reference
Very short-term solar irradiance fore-cast using all-sky imaging and real-time irradiance measurements
10.1016/j.renene.2019.05.069 · 2019 · External reference
Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
10.1016/j.renene.2023.03.122 · 2023 · External reference
Multidimensional feature extraction based minutely solar irradiance forecasting method using all-sky images
10.1109/tia.2024.3372515 · 2024 · External reference
Multi-modal feature fusion model based on timesnet and t2t-vit for ultra-short-term solar irradiance forecasting
10.1016/j.renene.2024.122192 · 2025 · External reference
A multi-modal deep clustering method for day-ahead solar irradiance forecasting using ground-based cloud imagery and time series data
10.1016/j.energy.2025.135285 · 2025 · External reference
Hybrid modeling of direct normal irradiance for rooftop photovoltaic systems using multi-feature extraction from cloud images
2025 · External reference
Ultra short-term solar irradiance forecast based on multimodal data fusion and fuzzification
10.1109/tii.2024.3523575 · 2025 · External reference
Investigation on ground-based cloud image classification and its application in photovoltaic power forecasting
2025 · External reference
Research on ultra-short-term photovoltaic power forecasting using multimodal data and ensemble learning
10.1016/j.energy.2025.136831 · 2025 · External reference
Climate-informed long-term forecasting of wind and photovoltaic power using a hybrid dwt–bes–cnn–lstm model
10.1016/j.energy.2025.138677 · 2025 · External reference
A dynamic meteorological correlation integrated hybrid method for photovoltaic output forecasting
10.1016/j.renene.2025.124561 · 2026 · External reference
Convode-mixer: a multimodal deep learning model for ultra-short-term pv power forecasting
10.1016/j.solener.2025.113777 · 2025 · External reference
Transfcloudnet: a dual-branch feature fusion ground-based cloud image fine-grained segmentation method for photovoltaic power prediction
10.1016/j.enconman.2025.120647 · 2026 · External reference
Unresolved reference
External reference
A comprehensive dataset for the accelerated development and benchmarking of solar forecasting methods
10.1063/1.5094494 · 2019 · External reference
Sirta, a ground-based atmospheric observatory for cloud and aerosol research
10.5194/angeo-23-253-2005 · 2005 · External reference
Segcloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation
10.5194/amt-13-1953-2020 · 2020 · External reference
Cloudsegnet: a deep network for nychthemeron cloud image segmentation
10.1109/lgrs.2019.2912140 · 2019 · External reference
10.1117/12.2052982
10.1117/12.2052982 · External reference
Mpcm-net: a multi-scale network that integrates partial attention convolution with mamba for ground-based cloud image segmentation
2026 · External reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · 2020 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Unresolved reference
External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
Unresolved reference
External reference
10.52202/079017-3273
10.52202/079017-3273 · External reference
10.1109/wacv61041.2025.00176
10.1109/wacv61041.2025.00176 · External reference
10.1609/aaai.v39i4.32372
10.1609/aaai.v39i4.32372 · External reference
A transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
10.1016/j.apenergy.2023.121160 · 2023 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
Unresolved reference
External reference
Cloudfu-net: a fine-grained segmentation method for ground-based cloud images based on an improved encoder-decoder structure
2024 · External reference
Cloudswinnet: a hybrid cnn-transformer framework for ground-based cloud images fine-grained segmentation
10.1016/j.energy.2024.133128 · 2024 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
10.1609/aaai.v37i9.26317
10.1609/aaai.v37i9.26317 · External reference
Unresolved reference
External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · ExternalCitation · doi-reference
Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting
10.1016/j.apenergy.2020.115875 · ExternalCitation · doi-reference
Convolutional neural net-works for intra-hour solar forecasting based on sky image sequences
10.1016/j.apenergy.2021.118438 · ExternalCitation · doi-reference
A transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecasting
10.1016/j.apenergy.2023.121160 · ExternalCitation · doi-reference
Transfcloudnet: a dual-branch feature fusion ground-based cloud image fine-grained segmentation method for photovoltaic power prediction
10.1016/j.enconman.2025.120647 · ExternalCitation · doi-reference
Numerical weather prediction (nwp) and hybrid arma/ann model to predict global radiation
10.1016/j.energy.2012.01.006 · ExternalCitation · doi-reference
Hybrid ultra-short-term pv power forecasting system for deterministic forecasting and uncertainty analysis
10.1016/j.energy.2023.129898 · ExternalCitation · doi-reference
Multistage spatio-temporal attention network based on node for short-term pv power forecasting
10.1016/j.energy.2024.130308 · ExternalCitation · doi-reference
Improving ultra-short-term photovoltaic power forecasting using a novel sky-image-based framework considering spatial-temporal feature interaction
10.1016/j.energy.2024.130538 · ExternalCitation · doi-reference
A hybrid ensemble optimized bigru method for short-term photovoltaic generation forecasting
10.1016/j.energy.2024.131458 · ExternalCitation · doi-reference
Cloudswinnet: a hybrid cnn-transformer framework for ground-based cloud images fine-grained segmentation
10.1016/j.energy.2024.133128 · ExternalCitation · doi-reference
A multi-modal deep clustering method for day-ahead solar irradiance forecasting using ground-based cloud imagery and time series data
10.1016/j.energy.2025.135285 · ExternalCitation · doi-reference
Research on ultra-short-term photovoltaic power forecasting using multimodal data and ensemble learning
10.1016/j.energy.2025.136831 · ExternalCitation · doi-reference
Climate-informed long-term forecasting of wind and photovoltaic power using a hybrid dwt–bes–cnn–lstm model
10.1016/j.energy.2025.138677 · ExternalCitation · doi-reference
A ground-based cloud image classification method for photovoltaic power prediction based on convolutional neural networks and vision transformer
10.1016/j.engappai.2025.111582 · ExternalCitation · doi-reference
Deep learning for intra-hour solar forecasting with fusion of features extracted from infrared sky images
10.1016/j.inffus.2023.02.006 · ExternalCitation · doi-reference
Multi-step prediction of photovoltaic power based on two-stage decomposition and bilstm
10.1016/j.neucom.2022.06.117 · ExternalCitation · doi-reference
Very short-term solar irradiance fore-cast using all-sky imaging and real-time irradiance measurements
10.1016/j.renene.2019.05.069 · ExternalCitation · doi-reference
Challenges and solu-tion technologies for the integration of variable renewable energy sources—a review
10.1016/j.renene.2019.06.147 · ExternalCitation · doi-reference
Hourly forecasting of solar irradiance based on ceemdan and multi-strategy cnn-lstm neural networks
10.1016/j.renene.2020.09.141 · ExternalCitation · doi-reference
Short-term solar radia-tion forecasting with a novel image processing-based deep learning approach
10.1016/j.renene.2022.10.063 · ExternalCitation · doi-reference
Photovoltaic power electricity generation nowcasting combining sky camera images and learning supervised algorithms in the southern spain
10.1016/j.renene.2023.01.111 · ExternalCitation · doi-reference
Harvesting spatiotemporal correlation from sky image sequence to improve ultra-short-term solar irradiance forecasting
10.1016/j.renene.2023.03.122 · ExternalCitation · doi-reference
Multi-modal feature fusion model based on timesnet and t2t-vit for ultra-short-term solar irradiance forecasting
10.1016/j.renene.2024.122192 · ExternalCitation · doi-reference
A dynamic meteorological correlation integrated hybrid method for photovoltaic output forecasting
10.1016/j.renene.2025.124561 · ExternalCitation · doi-reference
Data-driven short-term photovoltaic power forecasting under extreme weather conditions using gru-kan model
10.1016/j.renene.2025.124756 · ExternalCitation · doi-reference
Solar energy: potential and future prospects
10.1016/j.rser.2017.09.094 · ExternalCitation · doi-reference
Comparison of different physical models for pv power output prediction
10.1016/j.solener.2015.06.017 · ExternalCitation · doi-reference
Using sky-classification to improve the short-term prediction of irradiance with sky images and convolutional neural networks
10.1016/j.solener.2024.112320 · ExternalCitation · doi-reference
Convode-mixer: a multimodal deep learning model for ultra-short-term pv power forecasting
10.1016/j.solener.2025.113777 · ExternalCitation · doi-reference
10.1038/s41467-023-44666-1
10.1038/s41467-023-44666-1 · ExternalCitation · doi-reference
A comprehensive dataset for the accelerated development and benchmarking of solar forecasting methods
10.1063/1.5094494 · ExternalCitation · doi-reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · ExternalCitation · doi-reference
Cloudsegnet: a deep network for nychthemeron cloud image segmentation
10.1109/lgrs.2019.2912140 · ExternalCitation · doi-reference
Multidimensional feature extraction based minutely solar irradiance forecasting method using all-sky images
10.1109/tia.2024.3372515 · ExternalCitation · doi-reference
Data-driven short-term solar irradiance forecasting based on information of neighboring sites
10.1109/tie.2018.2856199 · ExternalCitation · doi-reference
Ultra short-term solar irradiance forecast based on multimodal data fusion and fuzzification
10.1109/tii.2024.3523575 · ExternalCitation · doi-reference
Squeeze-and-excitation networks
10.1109/tpami.2019.2913372 · ExternalCitation · doi-reference
Deep reinforce-ment learning-based self-scheduling strategy for a caes-pv system using accurate sky images-based forecasting
10.1109/tpwrs.2022.3177704 · ExternalCitation · doi-reference
Miti-gating the impact of photovoltaic power ramps on intraday economic dispatch using reinforcement forecasting
10.1109/tste.2023.3261444 · ExternalCitation · doi-reference
Sky-image-derived deep decomposition for ultra-short-term photovoltaic power forecasting
10.1109/tste.2023.3312401 · ExternalCitation · doi-reference
10.1109/wacv61041.2025.00176
10.1109/wacv61041.2025.00176 · ExternalCitation · doi-reference
10.1117/12.2052982
10.1117/12.2052982 · ExternalCitation · doi-reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · ExternalCitation · doi-reference
10.1609/aaai.v37i9.26317
10.1609/aaai.v37i9.26317 · ExternalCitation · doi-reference
10.1609/aaai.v39i4.32372
10.1609/aaai.v39i4.32372 · ExternalCitation · doi-reference
Segcloud: a novel cloud image segmentation model using a deep convolutional neural network for ground-based all-sky-view camera observation
10.5194/amt-13-1953-2020 · ExternalCitation · doi-reference
Sirta, a ground-based atmospheric observatory for cloud and aerosol research
10.5194/angeo-23-253-2005 · ExternalCitation · doi-reference
10.52202/079017-3273
10.52202/079017-3273 · ExternalCitation · doi-reference
