meteorological data

A cross-modal deep learning framework based on dual-branch enhanced CNN and mamba for intra-day solar irradiance forecasting

Accurate solar irradiance forecasting is essential for improving the economics and stability of building energy systems. Although existing multimodal deep learning methods have improved forecasting accuracy by integrating meteorological data with …

Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications

This work presents a new method to estimate atmospheric turbidity with improved accuracy in estimating clear-sky irradiance. The turbidity is estimated by machine learning algorithms using commonly measured meteorological data including ambient air …