Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty. [PDF]
Sci RepBarkhi M, Pourhossein J, Hosseini SA.
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High impedance faults detection in power distribution networks using rogowski coils, kalman filtering, least-squares and non-recursive DFT computation engines. [PDF]
PLoS OneAli ZM +3 more
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A modular neural network scheme applied to fault diagnosis in electric power systems. [PDF]
ScientificWorldJournal, 2014 Flores A +4 more
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Optimized fault detection and control for enhanced reliability and efficiency in DC microgrids. [PDF]
Sci RepSomanna B +6 more
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A Novel Objective Function for Directional Overcurrent Relays Coordination
International Journal of Engineering, 2014 openaire +1 more source
Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform. [PDF]
Sensors (Basel)Lajčiak M, Vachálek J.
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Effectiveness of supervised machine learning models for electrical fault detection in solar PV systems. [PDF]
Sci RepKhandeparkar V, Shreshtha, Ramu SK.
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An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using single end data only. [PDF]
Springerplus, 2015 Koley E, Verma K, Ghosh S.
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An Enhanced Tree-Seed Algorithm for Function Optimization and Production Optimization. [PDF]
Biomimetics (Basel)Zhou Q, Dai R, Zhou G, Ma S, Luo S.
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A Secure Dual-Layer Fault Protection Strategy for Distribution Network with DERs: Enhancing Security in the Face of Communication Challenges. [PDF]
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