4 citations · 9 across the 5 of their papers we have counts for
5 papers
SolarBench: A global solar energy nowcasting benchmark
Yuhao Nie, Stephen Campbell, Quentin Paletta +18
As the share of solar power grows, nowcasting weather-driven solar variability becomes critical for reliable energy system operation. State-of-the-art approaches increasingly apply…
Transformers Applied to Short-term Solar PV Power Output Forecasting
Andea Scott, Sindhu Sreedhara, Folasade Ayoola
Reliable forecasts of the power output from variable renewable energy generators like solar photovoltaic systems are important to balancing load on real-time electricity markets an…
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT
Yuhao Nie, Eric Zelikman, Andea Scott +2
In recent years, deep learning-based solar forecasting using all-sky images has emerged as a promising approach for alleviating uncertainty in PV power generation. However, the sto…
Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey
Yuhao Nie, Xiatong Li, Quentin Paletta +3
Sky-image-based solar forecasting using deep learning has been recognized as a promising approach in reducing the uncertainty in solar power generation. However, one of the biggest…
SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting
Yuhao Nie, Xiatong Li, Andea Scott +3
Large-scale integration of photovoltaics (PV) into electricity grids is challenged by the intermittent nature of solar power. Sky-image-based solar forecasting using deep learning…