A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences

<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. Accurate ultra-short-term PhotoVoltaic (PV) power forecasting is crucial for t...

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Bibliographic Details
Main Author: Razieh Rastgoo (22457767) (author)
Other Authors: Nima Amjady (8176431) (author), Rakibuzzaman Shah (10587317) (author), S. M. Muyeen (14778337) (author)
Published: 2025
Subjects:
Engineering
Electronics, sensors and digital hardware
Information and computing sciences
Computer vision and multimedia computation
Data management and data science
Machine learning
Diffusion models
probabilistic solar power prediction
ridgelet transform
singular value decomposition (SVD)
sky image sequence
Clouds
Adaptation models
Accuracy
Computational modeling
Fluctuations
Probability density function
Data models
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