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PSSE redux: convex relaxation, decentralized, robust, and dynamic solvers
This chapter aspires to glean some of the recent advances in power system state estimation
(PSSE). The Cramér–Rao bound, a lower bound on the (co) variance of any unbiased …
(PSSE). The Cramér–Rao bound, a lower bound on the (co) variance of any unbiased …
Topology and admittance estimation: Precision limits and algorithms
Distribution grid topology and admittance information are essential for system planning,
operation, and protection. In many distribution grids, missing or inaccurate topology and …
operation, and protection. In many distribution grids, missing or inaccurate topology and …
Distributed state estimation: A novel stop** criterion
Power System State Estimation (PSSE) has been a research area of interest for power
engineers for a long period of time. Due to the intermittent nature of renewable energy …
engineers for a long period of time. Due to the intermittent nature of renewable energy …
Admm-based distributed state estimation for power systems: Evaluation of performance
Recently, distributed algorithms for power system state estimation have attracted significant
attention. Along with such advantages as decomposition, parallelization of the original …
attention. Along with such advantages as decomposition, parallelization of the original …
Distributed dictionary learning via projections onto convex sets
D Ampeliotis, C Mavrokefalidis… - 2017 25th European …, 2017 - ieeexplore.ieee.org
We study a problem in which the nodes of a network, each with different data, are interested
in computing a common dictionary that is suitable for the efficient sparse coding of all their …
in computing a common dictionary that is suitable for the efficient sparse coding of all their …
Adapt-align-combine for diffusion-based distributed dictionary learning
D Ampeliotis, C Mavrokefalidis… - 2016 24th European …, 2016 - ieeexplore.ieee.org
Diffusion-based distributed dictionary learning methods are studied in this work. We
consider the classical mixed l 2-l 1 cost function, that employs an l 2 representation error …
consider the classical mixed l 2-l 1 cost function, that employs an l 2 representation error …
[PDF][PDF] Фінанси територіальних громад
ХБ ДЖУРИК - 2022 - lpnu.ua
У першому розділі «Теоретичні та прикладні основи розвитку і формування фінансів
територіальних громад» досліджено суб'єкти фінансових відносин такі як територіальні …
територіальних громад» досліджено суб'єкти фінансових відносин такі як територіальні …
Distributed set-theoretic parameter estimation in networks with ambiguous measurements
D Ampeliotis, C Mavrokefalidis… - 2018 IEEE 19th …, 2018 - ieeexplore.ieee.org
Distributed estimation of a parameter vector in a network of sensor nodes with ambiguous
measurements is considered. These ambiguities may be due to interference, poor …
measurements is considered. These ambiguities may be due to interference, poor …
Optimal partitioning in distributed state estimation considering a modified convergence criterion
Distributed state estimation (DSE) is considered as a more robust and reliable alternative for
centralized state estimation (CSE) in power system. Especially, taking into account the future …
centralized state estimation (CSE) in power system. Especially, taking into account the future …