A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction

A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction

The advancements in distributed generation (DG) technologies such as solar panels have led to a widespread integration of renewable power generation in modern power systems. However, the intermittent nature of renewable energy poses new challenges to the network operational planning with underlying...

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Bibliographic Details
Main Authors: Devinder Kaur, Shama Naz Islam, Md. Apel Mahmud, Md. Enamul Haque, Adnan Anwar
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Energy and AI
Subjects:
Bayesian deep learning
Bidirectional long-short term memory
Dimensionality reduction
Generation forecasting
Renewable power generation
Variational auto-encoders
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546823000514

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http://www.sciencedirect.com/science/article/pii/S2666546823000514

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