Optimizing IoT-driven smart grid stability prediction with dipper throated optimization algorithm for gradient boosting hyperparameters

With the surge in global population and economic expansion, there's been a marked increase in electricity demand. This necessitates the efficient distribution of electricity to both residential and industrial sectors to minimize energy loss. Smart Grids (SG) emerge as a promising solution to re...

Celý popis

Podrobná bibliografie

Vydáno v:	Energy reports Ročník 12; s. 305 - 320
Hlavní autoři:	Alkanhel, Reem Ibrahim, El-Kenawy, El-Sayed M., Eid, Marwa M., Abualigah, Laith, Saeed, Mohammed A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2024
Témata:	Deep Learning Dipper throated optimization Gradient boosting Hyperparameter Optimization Machine learning Smart grid stability Dipper throated optimization Smart grid stability Hyperparameter Optimization Deep Learning Machine learning Gradient boosting
ISSN:	2352-4847, 2352-4847
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!