Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
Renewable energy production and the balance between production and demand have become increasingly crucial in modern power systems, necessitating accurate forecasting. Traditional deterministic methods fail to capture the inherent uncertainties associated with intermittent renewable sources and fluc...
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| Main Authors: | Amir Miraki, Pekka Parviainen, Reza Arghandeh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Energy and AI |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546824001253 |
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