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Forecasting hybrid renewable power generation in Luxembourg: a comparative study of convolutional neural network’s application
ARABZADEH, Vahid; FRANK, Raphaël
20242024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems
Peer reviewed
 

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Keywords :
Deep learning, Renewable energy generation, Multi step ahead forecasting
Disciplines :
Energy
Author, co-author :
ARABZADEH, Vahid  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Ubiquitous and Intelligent Systems (UBI-X)
FRANK, Raphaël ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Ubiquitous and Intelligent Systems (UBI-X)
External co-authors :
yes
Language :
English
Title :
Forecasting hybrid renewable power generation in Luxembourg: a comparative study of convolutional neural network’s application
Publication date :
2024
Event name :
2024 IEEE 15th International Symposium on Power Electronics for Distributed Generation Systems
Event organizer :
LIST
Event place :
Luxembourg, Luxembourg
Event date :
23 - 26 Jun 2024
By request :
Yes
Peer reviewed :
Peer reviewed
Focus Area :
Sustainable Development
Development Goals :
13. Climate action
Available on ORBilu :
since 01 August 2024

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