Cargando…
Random Forest Regressor-Based Approach for Detecting Fault Location and Duration in Power Systems
Power system failures or outages due to short-circuits or “faults” can result in long service interruptions leading to significant socio-economic consequences. It is critical for electrical utilities to quickly ascertain fault characteristics, including location, type, and duration, to reduce the se...
Autores principales: | El Mrabet, Zakaria, Sugunaraj, Niroop, Ranganathan, Prakash, Abhyankar, Shrirang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779374/ https://www.ncbi.nlm.nih.gov/pubmed/35062419 http://dx.doi.org/10.3390/s22020458 |
Ejemplares similares
-
Soybean cyst nematode detection and management: a review
por: Arjoune, Youness, et al.
Publicado: (2022) -
Random Bits Forest: a Strong Classifier/Regressor for Big Data
por: Wang, Yi, et al.
Publicado: (2016) -
An Instance Segmentation and Clustering Model for Energy Audit Assessments in Built Environments: A Multi-Stage Approach
por: Arjoune, Youness, et al.
Publicado: (2021) -
Using near-infrared spectroscopy and a random forest regressor to estimate intracranial pressure
por: Relander, Filip A. J., et al.
Publicado: (2022) -
Quantitative Structure Activity Relationship study of the Anti-Hepatitis Peptides employing Random Forests and Extra-trees regressors
por: Mishra, Gunjan, et al.
Publicado: (2017)