deep sequence models 1interpretability 1model robustness 1numerical weather prediction errors 1photovoltaic forecasting 1
From the 1 of 2 linked papers with an AI index.
2 papers
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…
physics.ao-ph2025
Meteorologically-Informed Adaptive Conformal Prediction for Tropical Cyclone Intensity Forecasting
Xuepeng Chen, Jing-Jia Luo, Qingqing Li +1
Rapid intensification (RI) of tropical cyclones (TCs) poses a great challenge due to their highly nonlinear dynamics and inherent uncertainties. Conventional statistical dynamics a…