Solar radiation forecast based on satellite imagery and DGMR-SO model
-
Updated
Aug 21, 2024 - Python
Solar radiation forecast based on satellite imagery and DGMR-SO model
To build multi-level statistical models to forecast solar radiation
DWD Global Radiation Observation and Forecast Data Library - a Python package providing access to Surface Incoming Solar Radiation (SIS) or Global Horizontal Irradiance (GHI) data from Deutscher Wetterdienst (DWD). Covers Germany, Austria, and Switzerland. Useful for photovoltaic systems and Smart Home scenarios.
Bayesian Long Short-Term Memory (LSTM) neural network to demonstrate uncertainty-aware forecasting of solar irradiance. The model predicts daily Global Horizontal Irradiance (GHI) and provides confidence intervals for predictions, allowing us to understand both the forecast and its associated uncertainty.
The dataset contains measurements of columns such as: "wind direction", "wind speed", "humidity", "temperature" etc. for the past 4 months and you have to predict the level of: "radiation".
Calculate Irradiance from ASI image, using pre-trained CNN
Solar Radiation Prediction
A Random Forest SSR Emulator trained with the EarthSenseData (Stamatis et al., 2025).
To build multi-level statistical models to forecast solar radiation
2018. Master’s thesis project on solar radiation prediction in Ourense using artificial neural networks and environmental data analysis.
Add a description, image, and links to the solar-radiation-prediction topic page so that developers can more easily learn about it.
To associate your repository with the solar-radiation-prediction topic, visit your repo's landing page and select "manage topics."