Research graph
References from Two-stage weather-aware unlabeled sky image classification and solar irradiance forecasting based on residual attention network. Local targets link to admitted publications; unresolved targets remain external evidence.
Advancing power systems with renewable energy and intelligent technologies: a comprehensive review on grid transformation and integration
2025 · External reference
Impacts of solar intermittency on future photovoltaic reliability
10.1038/s41467-020-18602-6 · 2020 · External reference
A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
10.1016/j.rser.2022.112348 · 2022 · External reference
Solar irradiance resource and forecasting: a comprehensive review
10.1049/iet-rpg.2019.1227 · 2020 · External reference
How solar radiation forecasting impacts the utilization of solar energy: a critical review
10.1016/j.jclepro.2023.135860 · 2023 · External reference
Recent advances in intra-hour solar forecasting: a review of ground-based sky image methods
10.1016/j.ijforecast.2021.11.002 · 2023 · External reference
Forecasting renewable energy generation with machine learning and deep learning: current advances and future prospects
10.3390/su15097087 · 2023 · External reference
Unresolved reference
2023 · External reference
Sky type classification for the ISO/CIE Standard General Skies: a proposal for a new approach
10.1093/ijlct/ctab020 · 2021 · External reference
CAELUS: classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds
10.1016/j.solener.2023.111895 · 2023 · External reference
An all-sky camera image classification method using cloud cover features
10.5194/amt-15-3629-2022 · 2022 · External reference
Classification of weather phenomenon from images by using deep convolutional neural network
10.1029/2020ea001604 · 2021 · External reference
A multimodal deep learning approach for very short-term solar forecasts using sky images and historical numerical data
10.1016/j.renene.2025.123774 · 2025 · External reference
SKIPP’D: a sky images and photovoltaic power generation dataset for short-term solar forecasting
10.1016/j.solener.2023.03.043 · 2023 · 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
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
Multimodal ultra-short-term probabilistic solar power forecasting with generative AI and Transformer
10.1016/j.adapen.2025.100250 · 2025 · External reference
Weather phenomena monitoring: optimizing solar irradiance forecasting with temporal fusion transformer
10.1109/access.2024.3517144 · 2024 · External reference
Solar irradiance forecasting using temporal fusion transformers
10.1155/er/3534500 · 2025 · External reference
Benchmarking deep learning methods for irradiance estimation from sky images with applications to video prediction-based irradiance nowcasting
10.1016/j.solener.2025.114000 · 2025 · External reference
Benchmarking of deep learning irradiance forecasting models from sky images – an in-depth analysis
10.1016/j.solener.2021.05.056 · 2021 · External reference
10.5194/amt-2021-1
10.5194/amt-2021-1 · External reference
Fast Solar image classification using deep learning and its importance for automation in solar physics
10.1007/s11207-019-1473-z · 2019 · External reference
Very short-term forecast: different classification methods of the whole sky camera images for sudden PV power variations detection
10.3390/en15249433 · 2022 · External reference
Short-term solar power prediction learning directly from satellite images with regions of interest
10.1109/tste.2021.3123476 · 2022 · External reference
Enhancing Sola forecasting accuracy: a fusion of sky images and meteorological data with channel-wise attention
2024 · External reference
History and trends in solar irradiance and PV power forecasting: a preliminary assessment and review using text mining
10.1016/j.solener.2017.11.023 · 2018 · External reference
Fractional rectified linear unit activation function and its variants
10.1155/2022/1860779 · 2022 · External reference
Very short term irradiance forecasting using the lasso
10.1016/j.solener.2015.01.016 · 2015 · External reference
Self-supervised representation learning: introduction, advances, and challenges
10.1109/msp.2021.3134634 · 2022 · External reference
Self-supervised learning for solar radio spectrum classification
10.3390/universe8120656 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
A modified Adam algorithm for deep neural network optimization
10.1007/s00521-023-08568-z · 2023 · External reference
Short-term solar irradiance forecasting under data transmission constraints
10.1016/j.renene.2024.121058 · 2024 · External reference
Photovoltaic nowcasting with Bi-Level spatio-temporal analysis incorporating sky images
10.1109/tste.2021.3064326 · 2021 · External reference
A modified Adam algorithm for deep neural network optimization
10.1007/s00521-023-08568-z · ExternalCitation · doi-reference
Fast Solar image classification using deep learning and its importance for automation in solar physics
10.1007/s11207-019-1473-z · ExternalCitation · doi-reference
Multimodal ultra-short-term probabilistic solar power forecasting with generative AI and Transformer
10.1016/j.adapen.2025.100250 · 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
Recent advances in intra-hour solar forecasting: a review of ground-based sky image methods
10.1016/j.ijforecast.2021.11.002 · ExternalCitation · doi-reference
How solar radiation forecasting impacts the utilization of solar energy: a critical review
10.1016/j.jclepro.2023.135860 · ExternalCitation · doi-reference
Short-term solar irradiance forecasting under data transmission constraints
10.1016/j.renene.2024.121058 · ExternalCitation · doi-reference
A multimodal deep learning approach for very short-term solar forecasts using sky images and historical numerical data
10.1016/j.renene.2025.123774 · ExternalCitation · doi-reference
A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality
10.1016/j.rser.2022.112348 · ExternalCitation · doi-reference
Very short term irradiance forecasting using the lasso
10.1016/j.solener.2015.01.016 · ExternalCitation · doi-reference
History and trends in solar irradiance and PV power forecasting: a preliminary assessment and review using text mining
10.1016/j.solener.2017.11.023 · ExternalCitation · doi-reference
Benchmarking of deep learning irradiance forecasting models from sky images – an in-depth analysis
10.1016/j.solener.2021.05.056 · ExternalCitation · doi-reference
SKIPP’D: a sky images and photovoltaic power generation dataset for short-term solar forecasting
10.1016/j.solener.2023.03.043 · ExternalCitation · doi-reference
CAELUS: classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds
10.1016/j.solener.2023.111895 · 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
Benchmarking deep learning methods for irradiance estimation from sky images with applications to video prediction-based irradiance nowcasting
10.1016/j.solener.2025.114000 · ExternalCitation · doi-reference
Classification of weather phenomenon from images by using deep convolutional neural network
10.1029/2020ea001604 · ExternalCitation · doi-reference
Impacts of solar intermittency on future photovoltaic reliability
10.1038/s41467-020-18602-6 · ExternalCitation · doi-reference
Solar irradiance resource and forecasting: a comprehensive review
10.1049/iet-rpg.2019.1227 · ExternalCitation · doi-reference
Sky type classification for the ISO/CIE Standard General Skies: a proposal for a new approach
10.1093/ijlct/ctab020 · ExternalCitation · doi-reference
Weather phenomena monitoring: optimizing solar irradiance forecasting with temporal fusion transformer
10.1109/access.2024.3517144 · ExternalCitation · doi-reference
Self-supervised representation learning: introduction, advances, and challenges
10.1109/msp.2021.3134634 · ExternalCitation · doi-reference
Photovoltaic nowcasting with Bi-Level spatio-temporal analysis incorporating sky images
10.1109/tste.2021.3064326 · ExternalCitation · doi-reference
Short-term solar power prediction learning directly from satellite images with regions of interest
10.1109/tste.2021.3123476 · ExternalCitation · doi-reference
Fractional rectified linear unit activation function and its variants
10.1155/2022/1860779 · ExternalCitation · doi-reference
Solar irradiance forecasting using temporal fusion transformers
10.1155/er/3534500 · ExternalCitation · doi-reference
Very short-term forecast: different classification methods of the whole sky camera images for sudden PV power variations detection
10.3390/en15249433 · ExternalCitation · doi-reference
Forecasting renewable energy generation with machine learning and deep learning: current advances and future prospects
10.3390/su15097087 · ExternalCitation · doi-reference
Self-supervised learning for solar radio spectrum classification
10.3390/universe8120656 · ExternalCitation · doi-reference
An all-sky camera image classification method using cloud cover features
10.5194/amt-15-3629-2022 · ExternalCitation · doi-reference
10.5194/amt-2021-1
10.5194/amt-2021-1 · ExternalCitation · doi-reference
