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The Long Short-Term Memory Tuning for Multi-step Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition
| Title: | The Long Short-Term Memory Tuning for Multi-step Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition | Authors: | Mohamed Salb; Jovanovic, Luka; Nebojsa Bacanin   ; Kunjadic, Goran; Antonijevic, Milos ; Zivkovic, Miodrag ; V. Kanchana Devi |
Issue Date: | 2023 | Publication: | AIS Algorithms for Intelligent Systems: PCCDA 2023: Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics | Publisher: | Springer Nature Singapore | Type: | Book parts | ISBN: | 978-981-99-4626-6  Search Idenfier |
Collation: | str. 31-43 | DOI: | 10.1007/978-981-99-4626-6_3 | URI: | https://enauka.gov.rs/handle/123456789/795474 http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9616 https://link.springer.com/chapter/10.1007/978-981-99-4626-6_3 |
URL: | https://doi.org/10.1007/978-981-99-4626-6_3 | Metadata source: | (Preuzeto iz ORCID-a) Živković, Miodrag | M-category: | Mp. category will be shown later |
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