A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks

The transformation of traditional grid networks towards smart-grid and microgrid concepts raises many critical issues, and quality in the power supply is one of the prominent ones that needs further research. Developing and applying power quality (PQ) recognition methods with efficient and reliable...

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Vydáno v:	Heliyon Ročník 10; číslo 18; s. e37975
Hlavní autoři:	Samanta, Indu Sekhar, Rout, Pravat Kumar, Swain, Kunjabihari, Cherukuri, Murthy, Panda, Subhasis, Bajaj, Mohit, Blazek, Vojtech, Prokop, Lukas, Misak, Stanislav
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 30.09.2024 Elsevier
Témata:	algorithms learning neural networks Power quality events Power quality indices Probabilistic neural network rapid methods Salp swarm algorithm swarming swarms Variational mode decomposition Salp swarm algorithm Power quality events Variational mode decomposition Probabilistic neural network Power quality indices
ISSN:	2405-8440, 2405-8440
On-line přístup:	Získat plný text
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