A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM

The use of electronic loads has improved many aspects of everyday life, permitting more efficient, precise and automated process. As a drawback, the nonlinear behavior of these systems entails the injection of electrical disturbances on the power grid that can cause distortion of voltage and current...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Carlos Iturrino Garcia, Francesco Grasso, Antonio Luchetta, Maria Cristina Piccirilli, Libero Paolucci, Giacomo Talluri
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2020-09-01
Saila:	Applied Sciences
Gaiak:	power quality disturbances long short term memory convolutional neural network short time Fourier transform
Sarrera elektronikoa:	https://www.mdpi.com/2076-3417/10/19/6755
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!