High Impedance Fault and Heavy Load under Big Data Context

Council of Europe ∙ The Guidelines of the Council of Europe Data Protection Committee on the Protection of Individuals with Regard to the Processing of Personal Data in the Big Data Context

European Data Protection Law Review ◽

10.21552/edpl/2017/1/11 ◽

2017 ◽

Vol 3 (1) ◽

pp. 88-89 ◽

Cited By ~ 1

Author(s):

A. Mantelero

Keyword(s):

Big Data ◽

Data Protection ◽

Personal Data ◽

Council Of Europe ◽

2021 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA) ◽

High Impedance Fault Detection Based on HS-Transform and Decision Tree Techniques

10.1109/saupec/robmech/prasa52254.2021.9377236 ◽

2021 ◽

Author(s):

A. Nakho ◽

K. Moloi ◽

Y. Hamam

Keyword(s):

Fault Detection ◽

Decision Tree ◽

High Impedance ◽

Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services ◽

Data Source Selection in Big Data Context

10.1145/3366030.3366121 ◽

2019 ◽

Author(s):

Hicham Moad Safhi ◽

Bouchra Frikh ◽

Brahim Ouhbi

Keyword(s):

Big Data ◽

Source Selection ◽

Data Source ◽

High Impedance Fault Detection in Primary Distribution Network Employing Voltage and Current Sequence Components

2020 IEEE 17th India Council International Conference (INDICON) ◽

10.1109/indicon49873.2020.9342403 ◽

2020 ◽

Author(s):

Prashantkumar V. Dhawas ◽

Prashant P. Bedekar ◽

Praful V. Nandankar

Keyword(s):

Fault Detection ◽

Distribution Network ◽

High Impedance ◽

High Impedance Fault ◽

Sequence Components ◽

Current Sequence

Proceedings of the 4th International Conference on Big Data and Internet of Things ◽

Smart Connection of User Profiles in a Big Data Context

10.1145/3372938.3372977 ◽

2019 ◽

Author(s):

Ismail Bensassi ◽

Yasyn Elyusufi ◽

En-Naimi El Mokhtar

Keyword(s):

Big Data ◽

User Profiles ◽

Advancement in Radial Power Distribution Network Using High impedance fault Relay

2020 IEEE 17th India Council International Conference (INDICON) ◽

10.1109/indicon49873.2020.9342171 ◽

2020 ◽

Author(s):

Prashantkumar V. Dhawas ◽

Prashant P. Bedekar ◽

Praful V. Nandankar

Keyword(s):

Power Distribution ◽

Distribution Network ◽

Power Distribution Network ◽

High Impedance ◽

High Impedance Fault Detection in DC Microgrid using Real and Imaginary Components of Power

2020 28th Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/icee50131.2020.9260620 ◽

2020 ◽

Author(s):

Milad Faghihlou ◽

Behrooz Taheri ◽

Sirus Salehimehr

Keyword(s):

Fault Detection ◽

Dc Microgrid ◽

High Impedance ◽

High Impedance Fault Detection in Distribution Systems: An Approach Based on Fourier Transform and Artificial Neural Networks

2020 Workshop on Communication Networks and Power Systems (WCNPS) ◽

10.1109/wcnps50723.2020.9263766 ◽

2020 ◽

Author(s):

Jonas Villela de Souza ◽

Gabriela Nunes Lopes ◽

Jose Carlos Melo Vieira ◽

Eduardo N. Asada

Keyword(s):

Neural Networks ◽

Fourier Transform ◽

Artificial Neural Networks ◽

Fault Detection ◽

Distribution Systems ◽

High Impedance ◽

High Impedance Fault ◽

Artificial Neural

Distribution systems high impedance fault location: A spectral domain model considering parametric error processing

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2019.02.012 ◽

2019 ◽

Vol 109 ◽

pp. 227-241 ◽

Cited By ~ 10

Author(s):

J.U.N. Nunes ◽

A.S. Bretas ◽

N.G. Bretas ◽

A.R. Herrera-Orozco ◽

L.U. Iurinic

Keyword(s):

Distribution Systems ◽

Fault Location ◽

Domain Model ◽

Spectral Domain ◽

Error Processing ◽

High Impedance ◽

Energy variance criterion and threshold tuning scheme for high impedance fault detection

IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233) ◽

10.1109/pesw.1999.747300 ◽

1999 ◽

Author(s):

Keng-Yu Lien ◽

Shi-Lin Chen ◽

Ching-Jung Liao ◽

Tzong-Yih Guo ◽

Tsair-Ming Lin ◽

...

Keyword(s):

Fault Detection ◽

High Impedance ◽

High Impedance Fault ◽

Threshold Tuning ◽

Tuning Scheme ◽

Variance Criterion