Towards efficient and effective renewable energy prediction via deep learning

Towards efficient and effective renewable energy prediction via deep learning

Renewable energy (RE) offers major environmental and economic benefits compared to nuclear and fuel-based energy; however, the data used for RE include significant randomness, intermittent behaviour, and strong-volatility, hindering their integration into smart grids. Accurate RE prediction is a pro...

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Bibliographic Details
Main Authors: Zulfiqar Ahmad Khan, Tanveer Hussain, Ijaz Ul Haq, Fath U Min Ullah, Sung Wook Baik
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Echo state network
Renewable energy
Power generation forecasting
CNN
Hybrid model
ESNCNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722014524

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http://www.sciencedirect.com/science/article/pii/S2352484722014524

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