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Found 5 papers, 1 papers with code
Data Imputation for Multivariate Time Series Sensor Data with Large Gaps of Missing Data
Imputation of missing sensor-collected data is often an important step prior to machine learning and statistical data analysis.
Robust Event Classification Using Imperfect Real-world PMU Data
Specifically, the data preprocessing step addresses the data quality issues of PMU measurements (e. g., bad data and missing data); in the fine-grained event data extraction step, a model-free event detection method is developed to accurately localize the events from the inaccurate event timestamps in the event logs; and the feature engineering step constructs the event features based on the patterns of different event types, in order to improve the performance and the interpretability of the event classifiers.
Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements
This paper presents a machine learning method for event cause analysis to enhance situational awareness in distribution networks.
Deep Neural Network based Wide-Area Event Classification in Power Systems
This paper presents a wide-area event classification in transmission power grids.
Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning
In this paper, a biologically-inspired adaptive intelligent secondary controller is developed for microgrids to tackle system dynamics uncertainties, faults, and/or disturbances.
