Solar Irradiance Forecasting
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Benchmarks
ASOS Data
Most implemented
Short-Term Solar Irradiance Forecasting Under Data Transmission Constraints
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Solar Irradiance Anticipative Transformer
Papers
A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
Sky-image irradiance studies often compare forecasting systems in which the image encoder, temporal model, fusion block, target definition, and training recipe all change together. We use a narrower protocol: the multimo…
Solar Irradiance ForecastingStep-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
Ultra-short-term solar irradiance prediction is critical for photovoltaic system dispatch and power grid stability. Existing approaches suffer from three key shortcomings: single time-series models cannot capture the spa…
Solar Irradiance ForecastingBarrier-enforced multi-objective optimization for direct point and sharp interval forecasting
This paper proposes a multi-step probabilistic forecasting framework using a single neural-network based model to generate simultaneous point and interval forecasts. Our approach ensures non-crossing prediction intervals…
Solar Irradiance ForecastingOutperforming Self-Attention Mechanisms in Solar Irradiance Forecasting via Physics-Guided Neural Networks
Accurate Global Horizontal Irradiance (GHI) forecasting is critical for grid stability, particularly in arid regions characterized by rapid aerosol fluctuations. While recent trends favor computationally expensive Transf…
Solar Irradiance ForecastingPhysics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
The stable operation of off-grid photovoltaic systems requires accurate, computationally efficient solar forecasting. Contemporary deep learning models often suffer from massive computational overhead and physical blindn…
Solar Irradiance ForecastingIntegrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
Accurate day-ahead solar irradiance forecasting is essential for integrating solar energy into the power grid. However, it remains challenging due to the pronounced diurnal cycle and inherently complex cloud dynamics. Cu…
Solar Irradiance Forecasting