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State Estimation for Distribution Networks with Asynchronous Sensors Using Stochastic Descent: Preprint
Bala Kameshwar Poolla
,
Guido Cavraro
, Andrey Bernstein
Power Systems Engineering
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Dive into the research topics of 'State Estimation for Distribution Networks with Asynchronous Sensors Using Stochastic Descent: Preprint'. Together they form a unique fingerprint.
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Engineering
Electric Power Distribution
100%
Using Sensor
100%
State Estimation
100%
Test Network
33%
Inspired Algorithm
33%
Phasor Measurement Unit
33%
Gradient Descent
33%
Smart Meter
33%
Computer Science
Distribution Network
100%
State Estimation
100%
Smart Meters
33%
Phasor Measurement Unit
33%
Gradient Descent
33%
Fast Convergence
33%
Algorithmic Approach
33%
Numerical Simulation
33%
Inspired Algorithm
33%
Earth and Planetary Sciences
State Estimation
100%
Units of Measurement
33%