Prediction of Electricity Consumption Demand Based on Long-Short Term Memory Network (English)
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In:
Artificial Intelligence for Sustainable Energy
: Select Proceedings of the International Conference, GEn-CITy 2023
;
Chapter: 12
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165-177
;
2024
- Article/Chapter (Book) / Electronic Resource
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Title:Prediction of Electricity Consumption Demand Based on Long-Short Term Memory Network
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Additional title:Lect. Notes Electrical Eng.
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Contributors:Mathew, Jimson ( editor ) / Gopal, Lenin ( editor ) / Juwono, Filbert H. ( editor ) / Khan, Amanullah ( author ) / Maharum, Siti Marwangi Mohamad ( author ) / Harun, Faezah ( author ) / Shah, Jawad Ali ( author )
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Conference:International Conference on Green Energy, Computing and Intelligent Technology ; 2023 ; Iskandar Puteri, Malaysia
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Published in:Artificial Intelligence for Sustainable Energy : Select Proceedings of the International Conference, GEn-CITy 2023 ; Chapter: 12 ; 165-177Lecture Notes in Electrical Engineering ; 1142 ; 165-177
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Publisher:
- New search for: Springer Nature Singapore
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Place of publication:Singapore
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Publication date:2024-03-26
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Size:13 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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