Research graph
References from Explainable AI in solar PV forecasting: A systematic review of models, explainers, and physical drivers. Local targets link to admitted publications; unresolved targets remain external evidence.
Performance improvement of hybrid photovoltaic/thermal systems: A metaheuristic artificial intelligence approach to select the best model using 10e analysis
2024 · External reference
Exergetic optimization of some design parameters of the hybrid photovoltaic/thermal collector with bi-fluid air/ternary nanofluid (cuo/mgo/TiO2)
10.1007/s42452-023-05455-z · 2023 · External reference
Evaluation of the hydrogen/oxygen and thermoelectric production of a hybrid solar PV/T-electrolyzer system
10.1016/j.rineng.2024.102920 · 2024 · External reference
Techno-economic and environmental analysis of a hybrid PV/T solar system based on vegetable and synthetic oils coupled with TiO2 in Cameroon
10.1016/j.heliyon.2024.e24000 · 2024 · External reference
A novel interpretable model for solar radiation prediction based on adaptive fuzzy clustering and linguistic hedges
2020 · External reference
Gaining insight into solar photovoltaic power generation forecasting utilizing explainable artificial intelligence tools
10.1109/access.2020.3031477 · 2020 · External reference
Advancements and challenges in machine learning: A comprehensive review of models, libraries, applications, and algorithms
10.3390/electronics12081789 · 2023 · External reference
Solar irradiance forecasting based on deep learning methodologies and multi-site data
10.3390/sym12111830 · 2020 · External reference
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method
10.1016/j.energy.2020.118700 · 2020 · External reference
A survey on cybersecurity challenges, detection, and mitigation techniques for the smart grid
10.3390/en14185894 · 2021 · External reference
False data injection impact analysis in AI-based smart grid
2021 · External reference
Toward trustworthy AI: An explainable framework for deterministic PV power forecasting using uncertainty estimation to separate model and data anomalies
10.1016/j.rineng.2025.107645 · 2025 · External reference
Enhancing trust in machine learning systems by formal methods: With an application to a meteorological problem
2023 · External reference
Emerging role of generative AI in renewable energy forecasting and system optimization
2025 · External reference
Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review
10.1016/j.esr.2025.101735 · 2025 · External reference
Photovoltaic power estimation and forecast models integrating physics and machine learning: A review on hybrid techniques
10.1016/j.solener.2024.113044 · 2024 · External reference
A comprehensive review of AI-driven approaches for smart grid stability and reliability
10.1016/j.rser.2025.116424 · 2026 · External reference
Multi-variable false data injection attack detection and classification in solar photovoltaic grids with ensemble learning
10.1016/j.engappai.2025.111755 · 2025 · External reference
A comparative study of dimensionality reduction methods for accurate and efficient inverter fault detection in grid-connected solar photovoltaic systems
10.3390/electronics14142916 · 2025 · External reference
A hybrid machine learning-based framework for data injection attack detection in smart grids using PCA and stacked autoencoders
10.1109/access.2025.3543751 · 2025 · External reference
Machine learning-driven reliability estimation of PV inverters considering alert-ambient variability
10.1109/tia.2024.3522898 · 2025 · External reference
Recent advances in artificial intelligence-based optimization for power system applications: A review of techniques, challenges, and future directions
10.1016/j.rser.2025.116340 · 2026 · External reference
Reliability assessment of grid connected solar inverters in 1.4 MW PV plant from anomalous classified real field data
2022 · External reference
A comparative study of binary class logistic regression and shallow neural network for ddos attack prediction
2022 · External reference
Evaluation of dimensionality reduction methods applied to numerical weather models for solar radiation forecasting
10.1016/j.engappai.2017.12.003 · 2018 · External reference
Prediction of hourly solar radiation using fuzzy clustering and linguistic modifiers
2019 · External reference
A framework of using machine learning approaches for short-term solar power forecasting
10.1007/s42835-020-00346-4 · 2020 · External reference
Enhanced random forest model for robust short-term photovoltaic power forecasting using weather measurements
10.3390/en14133992 · 2021 · External reference
Solar irradiance forecasting with visible spectrum sky view images and random forest regression
2024 · External reference
Long short-term memory network PV power prediction incorporating extreme extreme gradient boosting algorithm
2022 · External reference
Use of physics to improve solar forecast: Part II, machine learning and model interpretability
10.1016/j.solener.2022.08.040 · 2022 · External reference
Advanced ensemble machine-learning and explainable ai with hybridized clustering for solar irradiation prediction in Bangladesh
10.1007/s00704-024-04951-5 · 2024 · External reference
Enhancing photovoltaic system performance using advanced gradient boosting methods
2024 · External reference
A residual ensemble learning approach for solar irradiance forecasting
10.1007/s11042-023-14616-6 · 2023 · External reference
Explainable artificial intelligence for energy systems maintenance: A review on concepts, current techniques, challenges, and prospects
10.1016/j.rser.2025.115668 · 2025 · External reference
A novel machine learning approach for solar radiation estimation
10.3390/su151310609 · 2023 · External reference
Photovoltaic power forecasting based on GA improved Bi-LSTM in microgrid without meteorological information
10.1016/j.energy.2021.120908 · 2021 · External reference
Temporal convolutional attention neural networks for time series forecasting
2021 · External reference
Interpretable deep learning for hourly solar radiation prediction: A real measured data case study in Tokyo
2023 · External reference
Photovoltaic output prediction based on CNN-GRU-attention algorithm
2023 · External reference
Forecasting solar power production by using satellite images
10.1016/j.solener.2025.113823 · 2025 · External reference
Sky image-informed hybrid model for ultra-short-term prediction of photovoltaic power output
10.1049/icp.2025.0414 · 2025 · External reference
Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery
10.1088/1748-9326/abe06d · 2021 · External reference
Explainable forecasting of global horizontal irradiance over multiple time steps using temporal fusion transformer
10.1063/5.0159899 · 2023 · External reference
Forecasting of PV plant output using interpretable temporal fusion transformer model
2023 · External reference
DTTrans: PV power forecasting using delaunay triangulation and TransGRU
10.3390/s23010144 · 2022 · External reference
Advanced multimodal fusion method for very short-term solar irradiance forecasting using sky images and meteorological data: A gate and transformer mechanism approach
10.1016/j.renene.2023.118952 · 2023 · External reference
Weather phenomena monitoring: Optimizing solar irradiance forecasting with temporal fusion transformer
10.1109/access.2024.3517144 · 2024 · External reference
A multi-step ahead global solar radiation prediction method using an attention-based transformer model with an interpretable mechanism
10.1016/j.ijhydene.2023.01.068 · 2023 · External reference
Interpretable transformer based intra-day solar forecasting with spatiotemporal satellite and numerical weather prediction inputs
10.1016/j.egyai.2025.100667 · 2026 · External reference
Transfer learning based photovoltaic power forecasting with XGBoost
2023 · External reference
A literature review based on density forecasting and uncertainty quantification of wind power generation
10.1016/j.rser.2025.116559 · 2026 · External reference
Interpretable temporal-spatial graph attention network for multi-site PV power forecasting
10.1016/j.apenergy.2022.120127 · 2022 · External reference
An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting
10.1016/j.apenergy.2021.118473 · 2022 · External reference
An interpretable machine learning model for daily global solar radiation prediction
10.3390/en14217367 · 2021 · External reference
Advancing photovoltaic solar power forecasting by the hybrid model of CNN and DNN and the XAI with SHAP
10.1080/15435075.2025.2553864 · 2026 · External reference
Application of the catboost gradient boosting method in forecasting solar electricity
2023 · External reference
SHapley additive exPlanations-guided rule-based energy management: bridging machine learning interpretability and adaptive control strategies
10.1016/j.ref.2025.100779 · 2026 · External reference
Leveraging explainable artificial intelligence (XAI) methods supporting local and global explainability for smart grids
2024 · External reference
Explainable deep learning model for grid-connected photovoltaic system performance assessment for improving system reliability
10.1109/access.2024.3452778 · 2024 · External reference
Artificial intelligence assisted solar energy forecasting by explainability approaches with LIME and SHAP
10.31202/ecjse.1591721 · 2025 · External reference
Multistep-ahead solar radiation forecasting scheme based on the light gradient boosting machine: A case study of Jeju Island
10.3390/rs12142271 · 2020 · External reference
Neural network interpretability for forecasting of aggregated renewable generation
2021 · External reference
A revolutionary neural network architecture with interpretability and flexibility based on Kolmogorov–Arnold for solar radiation and temperature forecasting
10.1016/j.apenergy.2024.124844 · 2025 · External reference
Solar irradiance forecasting based on direct explainable neural network
10.1016/j.enconman.2020.113487 · 2020 · External reference
Attention is not explanation
2019 · External reference
Attention is not not explanation
2019 · External reference
A short-term PV power forecasting method based on weather type credibility prediction and multi-model dynamic combination
10.1016/j.enconman.2025.119501 · 2025 · External reference
Interpretable feature selection and deep learning for short-term probabilistic PV power forecasting in buildings using local monitoring data
10.1016/j.apenergy.2024.124271 · 2024 · External reference
Application of long short-term memory networks and SHAP evaluation in the solar radiation forecast
10.3390/en18236099 · 2025 · External reference
Explaining solar forecasts with generative AI: A two-stage framework combining transformers and LLMs
10.1371/journal.pone.0331516 · 2025 · External reference
Interpretable cloud cover prediction for dynamic solar prediction in low-data environments
10.24112/jaes.090014 · 2025 · External reference
A novel spatiotemporal relation fused network for solar photovoltaic power prediction
10.1049/icp.2025.3182 · 2025 · External reference
An interpretable deep learning model for solar power generation forecasting in a grid-connected hybrid solar system
10.1109/jphotov.2025.3608474 · 2025 · External reference
Enhancing solar energy forecasting: 1D CNN with explainable AI techniques
2024 · External reference
Enhanced solar forecasting with contrastive learning model: A 15-minute prediction
2025 · External reference
Enhancing photovoltaic power generation nowcasting with sky image analysis using multi-modal attention networks
10.1016/j.solener.2025.114117 · 2026 · External reference
Dynamic graph attention meets multi-scale temporal memory: A hybrid framework for photovoltaic power forecasting under high renewable penetration
10.3390/pr13030873 · 2025 · External reference
Comparative study of feature selection techniques for machine learning-based solar irradiation forecasting to facilitate the sustainable development of photovoltaics: Application to Algerian climatic conditions
10.3390/su17146400 · 2025 · External reference
Non-crossing quantile regression neural network as a calibration tool for ensemble weather forecasts
10.1007/s00376-023-3184-5 · 2024 · External reference
AI-driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
10.3934/geosci.2024035 · 2024 · External reference
Multi-step short-term solar energy forecasting using Fourier-enhanced BiLSTM and neural additive models
10.1016/j.renene.2025.124738 · 2026 · External reference
A hybrid framework of gradient-boosted dendritic units and fully connected networks for short-term photovoltaic power forecasting
10.3390/app16010406 · 2025 · External reference
A short-term photovoltaic power-forecasting model based on DSC-Chebyshev KAN-iTransformer
10.3390/en19010020 · 2025 · External reference
Explainable optimization of extreme value analysis for photovoltaic prediction: Introducing dynamic correlation shifts and weighted benchmarking
10.3390/electronics14224484 · 2025 · External reference
Enhancing short-term solar photovoltaic power forecasting using a hybrid deep learning approach
10.1109/access.2024.3440035 · 2024 · External reference
Evaluation of opaque deep-learning solar power forecast models towards power-grid applications
10.1016/j.renene.2022.08.054 · 2022 · External reference
Physics-informed explainable encoder-decoder deep learning for predictive estimation of building carbon emissions
10.1016/j.rser.2025.115478 · 2025 · External reference
Deep reinforcement learning based interpretable photovoltaic power prediction framework
2024 · External reference
A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (part: I)
10.1016/j.renene.2017.08.061 · 2018 · External reference
Physics-informed mamba network for ultra-short-term photovoltaic power forecasting: integrating WGAN-GP augmentation and CEEMDAN-SST decomposition
10.1016/j.renene.2025.124851 · 2026 · External reference
Daily power generation forecasting for a grid-connected solar power plant using transfer learning technique
10.1007/s10489-024-06090-w · 2025 · External reference
Explainable clustered federated learning for solar energy forecasting
10.3390/en18092380 · 2025 · External reference
Consideration of blind data augmentation in the improved TimeGAN model for ultra-short-term photovoltaic power prediction
10.1080/15435075.2025.2481489 · 2025 · External reference
A prediction of the monthly average daily solar radiation on a horizontal surface in Saudi Arabia using artificial neural network approach
10.3390/pr13041149 · 2025 · External reference
Optimizing solar radiation prediction with ANN and explainable AI-based feature selection
10.3390/technologies13070263 · 2025 · External reference
Dual data and mechanism based prediction model for photovoltaic modules
2024 · External reference
Improved shark optimization algorithm-composite radial basis function neural network: a new version of the RBFNN model for forecasting monthly solar radiation
10.1016/j.rineng.2025.106339 · 2025 · External reference
Feature selection and seasonal variability in forecasting global horizontal irradiance: Insights from Riyadh meteorology
2025 · External reference
Hybrid AI-based long-term solar forecasting in Tunisia using transformer, prophet, and Monte Carlo simulation
10.37256/cm.6520257331 · 2025 · External reference
Particle swarm optimized neuro-fuzzy system for photovoltaic power forecasting model
10.1016/j.solener.2019.03.098 · 2019 · External reference
Two-stage machine learning for urban PV generation forecasting: Model development and SHAP-based interpretation of key climatic drivers
10.1007/s10765-025-03676-5 · 2026 · External reference
Interpretable deep learning framework for hourly solar radiation forecasting based on decomposing multi-scale variations
2025 · External reference
Integrating data intrusion defense strategy in PV power forecasting framework
2024 · External reference
Adversarial attacks to solar power forecast
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
Solar energy prediction through machine learning models: A comparative analysis of regressor algorithms
10.1371/journal.pone.0315955 · 2025 · External reference
Advancing solar energy integration: Unveiling XAI insights for enhanced power system management and sustainable future
10.1016/j.asej.2024.102740 · 2024 · External reference
Enhancing solar energy forecasting and grid management using explainable AI techniques
2025 · External reference
An interpretable horizontal federated deep learning approach to improve short-term solar irradiance forecasting
10.1016/j.jclepro.2024.140585 · 2024 · External reference
Improving the prediction of global solar radiation using interpretable boosting algorithms coupled SHAP and LIME analysis: a comparative study
10.1007/s00704-025-05507-x · 2025 · External reference
Optimizing solar radiation forecasting for renewable energy systems: A comparative analysis of machine learning and feature engineering techniques
2025 · External reference
Explainable machine learning models for predicting current and voltage in photovoltaic systems
2026 · External reference
Short-term solar photovoltaic power prediction utilizing the VMD-BKA-BP neural network
10.3390/sym17050784 · 2025 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
General pitfalls of model-agnostic interpretation methods for machine learning models
2022 · External reference
Fooling LIME and SHAP: Adversarial attacks on post hoc explanation methods
2020 · External reference
Interpretation of neural networks is fragile
2019 · External reference
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
10.1016/j.artint.2021.103502 · 2021 · External reference
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
10.1038/s42256-019-0048-x · 2019 · External reference
Estimation of hourly global solar radiation using multivariate adaptive regression spline (MARS) – a case study of Hong Kong
10.1016/j.energy.2019.115857 · 2019 · External reference
Theory-guided AI for intraday solar radiation prediction
2019 · External reference
Exploring clustering to improve interpretability in complex energy forecasting models
2024 · External reference
Interpretable hybrid deep learning for real-time multi-horizon forecasting of load, solar, and wind generation using multi-source energy and weather data
2025 · External reference
Machine learning insights into forecasting solar power generation with explainable AI
10.1007/s00202-024-02933-4 · 2025 · External reference
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
10.1186/s40537-024-00991-w · 2024 · External reference
Hybrid machine learning optimization for solar radiation forecasting
10.1016/j.pce.2025.104052 · 2025 · External reference
Satellite-derived photovoltaic power forecasting based on various attention inputs for higher self-explainability
2022 · External reference
Assessment of a new solar radiation nowcasting method based on FY-4A satellite imagery, the McClear model and SHapley additive explanations (SHAP)
10.3390/rs15092245 · 2023 · External reference
Spectral-temporal convolutional approach for PV systems output power forecasting: Case studies in single-site and multi-site
10.1016/j.segan.2024.101357 · 2024 · External reference
Data-driven multi-step solar photovoltaic predictions with limited and uncertain information: Insights from a collaboratively-optimized nonlinear grey Bernoulli model
10.1016/j.eswa.2024.125170 · 2024 · External reference
Machine learning forecasting of direct solar radiation: A multi-model evaluation with trigonometric cyclical encoding
10.3390/forecast7040058 · 2025 · External reference
Enhancing photovoltaic power output optimization: hybrid machine learning models for multi-objective and multi criteria decision making and sustainable energy integration
10.1007/s11760-025-04773-6 · 2025 · External reference
Ultra-short-term forecasting of global horizontal irradiance (GHI) integrating all-sky images and historical sequences
10.1063/5.0163759 · 2023 · External reference
An interpretable hybrid spatiotemporal fusion method for ultra-short-term photovoltaic power prediction
10.1016/j.energy.2024.132969 · 2024 · External reference
Ultra-short-term photovoltaic power prediction based on Bayes-two layer xgboost-LSTM network
2024 · External reference
Day-ahead solar irradiance forecasting using a hybrid weather-based attention BiLSTM approach for power system operation scheduling
2023 · External reference
Day-Ahead photovoltaic power forecasting using deep learning with an autoencoder-based correction strategy
10.1007/s40313-024-01099-5 · 2024 · External reference
Short-term solar irradiance prediction with a hybrid ensemble model using EUMETSAT satellite images
10.3390/en17020329 · 2024 · External reference
Lightweight short-term photovoltaic power prediction for mobile edge computing
2020 · External reference
Multivariate outliers detection for assessing data quality and enhancing interpretability in photovoltaic power predictions
2024 · External reference
Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
10.1016/j.egyr.2021.10.125 · 2021 · External reference
A risk-based scheduling optimization strategy with explainability enhanced multi-scenario photovoltaic forecasting
10.1016/j.epsr.2025.111729 · 2025 · External reference
Machine learning models for solar forecasting and impact on green hydrogen production costs
10.1016/j.ijhydene.2025.04.465 · 2025 · External reference
Dynamic-parameter physics-informed neural networks for short-term photovoltaic power prediction: Integrating physics-informed and data driven
10.1016/j.apenergy.2025.126764 · 2025 · External reference
Minimalist deep learning for solar power forecasting: Transformer-based prediction using key meteorological features
10.3390/en18246395 · 2025 · External reference
TCN-LSTM-AM short-term photovoltaic power forecasting model based on improved feature selection and APO
10.3390/s25247607 · 2025 · External reference
An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression
10.1038/s41598-025-22838-x · 2025 · External reference
LightGBM medium-term photovoltaic power prediction integrating meteorological features and historical data
10.3390/en18205526 · 2025 · External reference
Efficient machine learning-based prediction of solar irradiance using multi-site data
10.3390/fi17080336 · 2025 · External reference
Explainable multi-scale CAM attention for interpretable cloud segmentation in astro-meteorological applications
10.3390/app15158555 · 2025 · External reference
Explainable machine learning and predictive statistics for sustainable photovoltaic power prediction on areal meteorological variables
10.3390/app15148005 · 2025 · External reference
An investigation of photovoltaic power forecasting in buildings considering shadow effects: Modeling approach and SHAP analysis
10.1016/j.renene.2025.122821 · 2025 · External reference
Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning
10.1016/j.apenergy.2025.125525 · 2025 · External reference
Spatiotemporal downscaling model for solar irradiance forecast using nearest-neighbor random forest and Gaussian process
10.3390/en18102447 · 2025 · External reference
A satellite-based novel method to forecast short-term (10 min - 4 h) solar radiation by combining satellite-based cloud transmittance forecast and physical clear-sky radiation model
10.1016/j.solener.2025.113376 · 2025 · External reference
Solar irradiance separation with deep learning: An interpretable multi-task and physically constrained model based on individual–interactive features
10.1016/j.solener.2025.113353 · 2025 · External reference
Solar radiation forecasting with hybrid deep learning framework integrating feature factorization
2025 · External reference
Adaptive encoder-decoder model considering spatio-temporal features for short-term power prediction of distributed photovoltaic station
10.1109/tia.2024.3351613 · 2025 · External reference
Neural network models for solar irradiance forecasting in polluted areas: A comparative study
10.1002/ese3.70393 · 2026 · External reference
Analysis of deep learning architectures for satellite imaging-based solar irradiance dense time-series forecasting
2025 · External reference
Solar power forecasting using machine learning and ECMWF weather variables
2025 · External reference
Improving solar radiation prediction in China: A stacking model approach with categorical boosting feature selection
10.3390/atmos15121436 · 2024 · External reference
Photovoltaic power prediction using deep learning models: recent advances and new insights
10.11591/ijece.v14i5.pp5926-5940 · 2024 · External reference
Explainable time-varying directional representations for photovoltaic power generation forecasting
10.1016/j.jclepro.2024.143056 · 2024 · External reference
Solar radiation forecasting using gradient boosting based ensemble learning model for various climatic zones
2024 · External reference
Solar irradiance forecasting with natural language processing of cloud observations and interpretation of results with modified Shapley additive explanations
10.3390/a17040150 · 2024 · External reference
Interpreting solar irradiance predictions using explainable AI: Insights from Gwangju
2024 · External reference
Enhancing sola forecasting accuracy: A fusion of sky images and meteorological data with channel-wise attention
2024 · External reference
Boosting solar power forecast accuracy: Deep learning and explainable artificial intelligence integration
2024 · External reference
Probabilistic PV power forecasting by a multi-modal method using GPT-agent to interpret weather conditions
2024 · External reference
Solar radiation prediction: A comprehensive analysis of machine learning models and interpretability techniques
2024 · External reference
Forecasting univariate solar irradiance using machine learning models: A case study of two Andean cities
10.1016/j.enconman.2023.117618 · 2023 · External reference
Ensemble machine-learning model for solar radiation prediction using explainable AI
2023 · External reference
Solar irradiance forecasting using ensemble models of machine learning
2023 · External reference
A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction
10.1016/j.jclepro.2022.134979 · 2023 · External reference
Interpretable deep learning models for hourly solar radiation prediction based on graph neural network and attention
10.1016/j.apenergy.2022.119288 · 2022 · External reference
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives
10.1016/j.asoc.2022.108526 · 2022 · External reference
Optimized feature selection based on a least-redundant and highest-relevant framework for a solar irradiance forecasting model
10.1109/access.2022.3171230 · 2022 · External reference
An explainable recurrent neural network for solar irradiance forecasting
2021 · External reference
Multiple site intraday solar irradiance forecasting by machine learning algorithms: MGGP and MLP neural networks
10.3390/en13113005 · 2020 · External reference
Spatio-temporal graph neural networks with elastic-band transform for solar radiation prediction
2026 · External reference
Explainable deep learning for hyperparameter optimization-based prediction of solar radiation intensity classification
10.1142/s2196888825500058 · 2026 · External reference
2D time-varying functional modeling framework for multi-scale solar irradiance forecasting
10.1016/j.neunet.2025.108443 · 2026 · External reference
A solar radiation data generation method for solar energy utilization scenarios: BIPV generation forecasting as a case study
10.1016/j.renene.2025.124772 · 2026 · External reference
Interpretable machine learning framework for sustainable solar power systems
2025 · External reference
Advancing solar radiation prediction with explainable AI and ensemble learning techniques
2026 · External reference
Towards reliable solar power forecasting in Sub-Saharan Africa: An explainable hybrid AI approach for Chad
2026 · External reference
Interpretable prediction of multi-photovoltaic power stations via spatial-temporal multi-task learning with transformer-XLSTM
2025 · External reference
Organic photovoltaic prediction model based on Bayesian optimization and explainable AI
10.1038/s41598-025-18632-4 · 2025 · External reference
PV power forecasting method using a dynamic spatio-temporal attention graph convolutional network with error correction
10.1016/j.solener.2025.113770 · 2025 · External reference
Optimization-driven extreme learning machine for floating photovoltaic power prediction: a teaching-learning-based approach
10.1088/2631-8695/adf693 · 2025 · External reference
Integrating a hybrid data processing strategy into an optimized light gradient boosting machine for photovoltaic power forecasting
10.1007/s00521-024-10691-4 · 2025 · External reference
Forecasting solar photovoltaic power generation: A machine learning time series model approach
10.1155/er/4092367 · 2025 · External reference
Comparative evaluation of machine learning and transformer-based deep learning for solar energy forecasting on a real-world dataset
2025 · External reference
Spatiotemporal multi-step PV forecasting via LSTM-GAT and flow-based uncertainty
2025 · External reference
An interpretable photovoltaic power forecasting method based on temporal embedding
2025 · External reference
Solar power generation forecasting in smart cities and explanation based on explainable AI
10.3390/smartcities7060132 · 2024 · External reference
Comprehensive and comparative analysis of GAM-based PV power forecasting models using multidimensional tensor product splines against machine learning techniques
10.3390/en14217146 · 2021 · External reference
Particle swarm optimized neuro-fuzzy system for photovoltaic power forecasting model
10.1016/j.solener.2019.03.098 · 2019 · External reference
An adaptive method for real-time photovoltaic power forecasting utilizing mathematics and statistics: Case studies in Australia and Vietnam
10.1049/rpg2.13108 · 2024 · External reference
Meta-learning-based imputation in solar energy systems: Bridging the gap between missing data and forecasting reliability
10.1007/s42835-025-02420-1 · 2026 · External reference
Enhancing solar power forecasting in Abuja: An application of XAI techniques for improved transparency and trust
2025 · External reference
Enhancing solar radiation conversion in floating photovoltaic systems through machine learning
2024 · External reference
Towards sustainable energy management: Leveraging explainable artificial intelligence for transparent and efficient decision-making
2025 · External reference
