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A survey of power system state estimation using multiple data sources: PMUs, SCADA, AMI, and beyond
State estimation (SE) is indispensable for the situational awareness of power systems.
Conventional SE is fed by measurements collected from the supervisory control and data …
Conventional SE is fed by measurements collected from the supervisory control and data …
Real-time grid monitoring and protection: A comprehensive survey on the advantages of phasor measurement units
The emerging smart-grid and microgrid concept implementation into the conventional power
system brings complexity due to the incorporation of various renewable energy sources and …
system brings complexity due to the incorporation of various renewable energy sources and …
Filling time-series gaps using image techniques: Multidimensional context autoencoder approach for building energy data imputation
Building energy prediction and management has become increasingly important in recent
decades, driven by the growth of Internet of Things (IoT) devices and the availability of more …
decades, driven by the growth of Internet of Things (IoT) devices and the availability of more …
Grid-graph signal processing (grid-GSP): A graph signal processing framework for the power grid
The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …
Frequency disturbance event detection based on synchrophasors and deep learning
Power system frequency disturbances are caused by various generation and transmission
events including generator trips, load disconnections, line trips, etc. Accurate detections of …
events including generator trips, load disconnections, line trips, etc. Accurate detections of …
Sparse and redundant representation-based smart meter data compression and pattern extraction
Smart meters play vital roles in the aspects of the management and operation of smart grids
such as demand response, energy efficiency improvement, and electricity pricing. Massive …
such as demand response, energy efficiency improvement, and electricity pricing. Massive …
A power system disturbance classification method robust to PMU data quality issues
Data quality issues exist in practical phasor measurement units (PMUs) due to
communication errors or signal interferences. As a result, the performances of existing data …
communication errors or signal interferences. As a result, the performances of existing data …
Streaming PCA and subspace tracking: The missing data case
For many modern applications in science and engineering, data are collected in a streaming
fashion carrying time-varying information, and practitioners need to process them with a …
fashion carrying time-varying information, and practitioners need to process them with a …
Missing data problem in the monitoring system: A review
Missing data is a common phenomenon in sensor networks, especially in the large-scale
monitoring system. It can be affected by various kinds of reasons. Moreover, incomplete data …
monitoring system. It can be affected by various kinds of reasons. Moreover, incomplete data …
A missing-data tolerant method for data-driven short-term voltage stability assessment of power systems
With the widespread deployment of phasor measurement units (PMUs), synchronized
measurements of the power system has opened opportunities for data-driven short-term …
measurements of the power system has opened opportunities for data-driven short-term …