works on
deep sequence models 1interpretability 1model robustness 1numerical weather prediction errors 1photovoltaic forecasting 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

physics.ao-ph2026

Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis

Dandan Chen, Yan Zhao, Xuepeng Chen

The paper evaluates how deep learning and machine‑learning models for photovoltaic power forecasting behave when faced with realistic, temporally correlated errors in numerical wea…