Results 31 to 40 of about 2,843,178 (314)

Performance Criterion of Phasor Measurement Units for Distribution System State Estimation

open access: yesIEEE Access, 2019
A phasor measurement unit (PMU) is a device that can directly measure the phase angles of voltages and currents, with high accuracy, using accurate time signals.
Jonghoek Kim, Hyun-Tae Kim, Sungyun Choi
doaj   +1 more source

State estimation: direct state measurement vs. tomography

open access: yes, 2013
We compare direct state measurement (DST or weak state tomography) to conventional state reconstruction (tomography) through accurate Monte-Carlo simulations. We show that DST is surprisingly robust to its inherent bias.
Maccone, Lorenzo, Rusconi, Cosimo C.
core   +1 more source

Robust algorithm for generalized state estimation [PDF]

open access: yes, 2009
This letter introduces a robust generalized state estimator which is able to detect and reject gross measurement errors, parameter errors, and topology errors simultaneously.
Irving, MR
core   +1 more source

State Variable Implications on Hydraulic State Estimation

open access: yesWater Resources Management, 2022
AbstractHydraulic State Estimation allows to estimate the most likely state of a water supply network considering multiple sources of information and their associated uncertainty. It is set out as an optimization problem, often addressed according to the Weighted Least Squares criterion. It can be formulated differently depending on the selected set of
Emilio Ruiz   +2 more
openaire   +1 more source

A Statistical Approach for Distribution System State Estimation

open access: yesTurkish Journal of Electrical Power and Energy Systems
Power system state estimation is a useful technique that enables the system to be monitored when sufficient measurements are not available. Although it has been practiced for a long time, distribution system state estimation (DSSE) is still challenging ...
Ibrahim Gursu Tekdemir
doaj   +1 more source

Distributed State Estimation of Multi-region Power System based on Consensus Theory

open access: yesEnergies, 2019
Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced ...
Shiwei Xia   +6 more
doaj   +1 more source

Estimating State‐Contingent Production Frontiers [PDF]

open access: yesAmerican Journal of Agricultural Economics, 2006
Chambers and Quiggin (2000) use state‐contingent representations of risky production technologies to establish important theoretical results concerning producer behavior under uncertainty. Unfortunately, perceived problems in the estimation of state‐contingent models have limited the usefulness of the approach in policy formulation.
O'Donnell, CJ, Griffiths, WE
openaire   +5 more sources

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein   +3 more
wiley   +1 more source

Robust Nonlinear Position Control with Extended State Observer for Single-Rod Electro-Hydrostatic Actuator

open access: yesMathematics, 2021
In the existing literature, studies on position controller design using only position feedback, considering the disturbances for single-rod electro-hydrostatic actuators (EHAs), have not been reported.
Young Seop Son, Wonhee Kim
doaj   +1 more source

Frequency Tracking and Parameter Estimation for Robust Quantum State-Estimation

open access: yes, 2011
In this paper we consider the problem of tracking the state of a quantum system via a continuous measurement. If the system Hamiltonian is known precisely, this merely requires integrating the appropriate stochastic master equation. However, even a small
A. Doherty   +16 more
core   +1 more source

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