Concepedia

Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis

Daniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, Elena Baralis

Computing · 2020 · 15 citations · 14 references

Concepts

ComputingData ScienceElectrical EngineeringData MiningMachine LearningTime Series AnalysisExploratory Time Series AnalysisFault DetectionFault DiagnosisFault ModelingPower Grid AnalysisSystem IdentificationData-driven Fault DetectionData-driven Fault DiagnosisDistribution Network ModelingElectric Power Distribution NetworksFault PredictionMachine Learning-based Fault DiagnosisPower System Fault Analysis

References

14

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Random Forests: some methodological insights

Robin Genuer, Jean‐Michel Poggi, Christine Tuleau · ArXiv.org · 2008 · 148 citations · Full text

Computing, Data Science, Data Mining +14

Intelligent Early Warning of Power System Dynamic Insecurity Risk: Toward Optimal Accuracy-Earliness Tradeoff

Yuchen Zhang, Yan Xu, Zhao Yang Dong et al. · IEEE Transactions on Industrial Informatics · 2017 · 124 citations · Full text

Computing, Electrical Engineering, Systems Engineering +12

A Lazy Approach to Associative Classification

Elena Baralis, Silvia Chiusano, Paolo Garza · IEEE Transactions on Knowledge and Data Engineering · 2008 · 109 citations

Computing, Computer Science, Algorithms +13

Early warning method for transmission line galloping based on SVM and AdaBoost bi‐level classifiers

Jian Wang, Xiaofu Xiong, Ning Zhou et al. · IET Generation Transmission & Distribution · 2016 · 59 citations

Computing, Electrical Engineering, Data Mining +16