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Optimization-driven extreme learning machine for floating photovoltaic power prediction: a teaching-learning-based approach
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PV power forecasting method using a dynamic spatio-temporal attention graph convolutional network with error correction
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Organic photovoltaic prediction model based on Bayesian optimization and explainable AI
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2D time-varying functional modeling framework for multi-scale solar irradiance forecasting
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Explainable deep learning for hyperparameter optimization-based prediction of solar radiation intensity classification
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Multiple site intraday solar irradiance forecasting by machine learning algorithms: MGGP and MLP neural networks
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Optimized feature selection based on a least-redundant and highest-relevant framework for a solar irradiance forecasting model
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A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction
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Forecasting univariate solar irradiance using machine learning models: A case study of two Andean cities
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Solar irradiance forecasting with natural language processing of cloud observations and interpretation of results with modified Shapley additive explanations
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Explainable time-varying directional representations for photovoltaic power generation forecasting
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Photovoltaic power prediction using deep learning models: recent advances and new insights
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Improving solar radiation prediction in China: A stacking model approach with categorical boosting feature selection
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Neural network models for solar irradiance forecasting in polluted areas: A comparative study
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Adaptive encoder-decoder model considering spatio-temporal features for short-term power prediction of distributed photovoltaic station
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Solar irradiance separation with deep learning: An interpretable multi-task and physically constrained model based on individual–interactive features
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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
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Spatiotemporal downscaling model for solar irradiance forecast using nearest-neighbor random forest and Gaussian process
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Enhancing PV power forecasting accuracy through nonlinear weather correction based on multi-task learning
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An investigation of photovoltaic power forecasting in buildings considering shadow effects: Modeling approach and SHAP analysis
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Explainable machine learning and predictive statistics for sustainable photovoltaic power prediction on areal meteorological variables
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Explainable multi-scale CAM attention for interpretable cloud segmentation in astro-meteorological applications
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Efficient machine learning-based prediction of solar irradiance using multi-site data
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LightGBM medium-term photovoltaic power prediction integrating meteorological features and historical data
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An interpretable statistical approach to photovoltaic power forecasting using factor analysis and ridge regression
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TCN-LSTM-AM short-term photovoltaic power forecasting model based on improved feature selection and APO
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Minimalist deep learning for solar power forecasting: Transformer-based prediction using key meteorological features
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Dynamic-parameter physics-informed neural networks for short-term photovoltaic power prediction: Integrating physics-informed and data driven
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Machine learning models for solar forecasting and impact on green hydrogen production costs
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A risk-based scheduling optimization strategy with explainability enhanced multi-scenario photovoltaic forecasting
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Evaluating neural network and linear regression photovoltaic power forecasting models based on different input methods
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