| Nome |
# |
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Identification and Estimation of Harmonic Sources Based on Compressive Sensing, file e2f56ed7-93eb-3eaf-e053-3a05fe0a5d97
|
793
|
|
A Multidisciplinary Approach for the Development of Smart Distribution Networks, file e2f56ed7-ef7f-3eaf-e053-3a05fe0a5d97
|
778
|
|
A monitoring system based on phasor measurement units with variable reporting rates, file e2f56ed8-2b7f-3eaf-e053-3a05fe0a5d97
|
679
|
|
Impact of Current and Power Measurements on Distribution System State Estimation Uncertainty, file e2f56ed8-345f-3eaf-e053-3a05fe0a5d97
|
606
|
|
PMU’s behavior with flicker-generating voltage fluctuations: an experimental analysis, file e2f56ed8-7cbe-3eaf-e053-3a05fe0a5d97
|
538
|
|
PMU-based distribution system state estimation with adaptive accuracy exploiting local decision metrics and IoT paradigm, file e2f56ed6-e6c9-3eaf-e053-3a05fe0a5d97
|
535
|
|
Low-cost implementation and characterization of an active phasor data concentrator, file e2f56ed8-b0ba-3eaf-e053-3a05fe0a5d97
|
511
|
|
Active Phasor Data Concentrator performing adaptive management of latency, file e2f56ed7-db51-3eaf-e053-3a05fe0a5d97
|
478
|
|
An efficient and accurate solution for distribution system state estimation with multiarea architecture, file e2f56ed6-ed95-3eaf-e053-3a05fe0a5d97
|
476
|
|
Bandwidth and accuracy-aware state estimation for smart grids using software defined networks, file e2f56ed6-e8b9-3eaf-e053-3a05fe0a5d97
|
471
|
|
Effect of Unbalance on Positive-Sequence Synchrophasor, Frequency, and ROCOF Estimations, file e2f56ed7-94d3-3eaf-e053-3a05fe0a5d97
|
348
|
|
Space Vector Taylor-Fourier Models for Synchrophasor, Frequency, and ROCOF Measurements in Three-Phase Systems, file e2f56ed8-b7b8-3eaf-e053-3a05fe0a5d97
|
345
|
|
Bayesian Approach for Distribution System State Estimation With Non-Gaussian Uncertainty Models, file e2f56ed6-df2e-3eaf-e053-3a05fe0a5d97
|
327
|
|
Compressive Sensing of a Taylor-Fourier Multifrequency Model for Synchrophasor Estimation, file e2f56ed5-b3ff-3eaf-e053-3a05fe0a5d97
|
326
|
|
Compensation of systematic measurement errors in a PMU-based monitoring system for electric distribution grids, file e2f56ed8-4e49-3eaf-e053-3a05fe0a5d97
|
297
|
|
Compressive Sensing-Based Harmonic Sources Identification in Smart Grids, file e2f56ed9-504d-3eaf-e053-3a05fe0a5d97
|
190
|
|
Design and construction of a new detector to measure ultra-low radioactive-isotope contamination of argon, file e2f56eda-2934-3eaf-e053-3a05fe0a5d97
|
147
|
|
Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator, file e2f56ed9-7e3c-3eaf-e053-3a05fe0a5d97
|
135
|
|
An efficient method to include equality constraints in branch current distribution system state estimation, file e2f56ed3-c871-3eaf-e053-3a05fe0a5d97
|
126
|
|
Harmonic Synchrophasors Measurement Algorithms with Embedded Compensation of Voltage Transformer Frequency Response, file e2f56ed9-6a8f-3eaf-e053-3a05fe0a5d97
|
111
|
|
A distributed PMU for electrical substations with wireless redundant process bus, file e2f56eda-d078-3eaf-e053-3a05fe0a5d97
|
111
|
|
PMU-based Estimation of Systematic Measurement Errors, Line Parameters and Tap Changer Ratios in Three-Phase Power Systems, file e2f56eda-cb83-3eaf-e053-3a05fe0a5d97
|
101
|
|
Cloud-based IoT solution for state estimation in smart grids: exploiting virtualization and edge-intelligence technologies, file e2f56eda-d699-3eaf-e053-3a05fe0a5d97
|
83
|
|
Forecasting-Aided Monitoring for the Distribution System State Estimation, file e2f56ed9-20d1-3eaf-e053-3a05fe0a5d97
|
80
|
|
Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions, file e2f56eda-4d23-3eaf-e053-3a05fe0a5d97
|
79
|
|
Multiarea Distribution System State Estimation, file e2f56eda-d664-3eaf-e053-3a05fe0a5d97
|
73
|
|
Synchrophasor Estimation for Three-Phase Systems Based on Taylor Extended Kalman Filtering, file e2f56ed9-b74e-3eaf-e053-3a05fe0a5d97
|
69
|
|
Uncertainty of Voltage Profile in PMU-Based Distribution System State Estimation, file e2f56eda-ab17-3eaf-e053-3a05fe0a5d97
|
69
|
|
Estimation of Line Parameters, Tap Changer Ratios, and Systematic Measurement Errors Based on Synchronized Measurements and a General Model of Tap-Changing Transformers, file 9f76124e-046c-470b-accc-c0eada6c0972
|
46
|
|
SiPM-matrix readout of two-phase argon detectors using electroluminescence in the visible and near infrared range, file e2f56eda-4bd4-3eaf-e053-3a05fe0a5d97
|
43
|
|
Design and Performance Prediction of Space Vector-Based PMU Algorithms, file e2f56eda-cee2-3eaf-e053-3a05fe0a5d97
|
40
|
|
Line Impedance Estimation Based on Synchrophasor Measurements for Power Distribution Systems, file e2f56eda-c5fd-3eaf-e053-3a05fe0a5d97
|
34
|
|
Enhanced Support Recovery for PMU Measurements Based on Taylor-Fourier Compressive Sensing Approach, file 3087c0c7-26c2-43eb-8953-58b900b20137
|
29
|
|
Campionamento compresso di un modello Taylor-Fourier per la stima dei sincrofasori, file e2f56ed6-9f20-3eaf-e053-3a05fe0a5d97
|
23
|
|
A Practical Solution for Locating the Source of Voltage Dips in HV/MV Interconnected Grids, file 401823f7-a27c-4cb6-9fd5-fddba6a5eadc
|
22
|
|
Cloud-based IoT solution for state estimation in smart grids: exploiting virtualization and edge-intelligence technologies, file e2f56ed9-317b-3eaf-e053-3a05fe0a5d97
|
19
|
|
Line Impedance Estimation Based on Synchrophasor Measurements for Power Distribution Systems, file e2f56ed7-f5e9-3eaf-e053-3a05fe0a5d97
|
17
|
|
Monitoring and Automation of Complex Power Systems, file 857e63eb-bd15-4aaa-9bba-0b84eccc6d93
|
15
|
|
Uncertainty of Voltage Profile in PMU-Based Distribution System State Estimation, file e2f56ed5-c085-3eaf-e053-3a05fe0a5d97
|
15
|
|
Multiarea Distribution System State Estimation, file e2f56ed3-9ee7-3eaf-e053-3a05fe0a5d97
|
13
|
|
Sensitivity of future liquid argon dark matter search experiments to core-collapse supernova neutrinos, file 30ef77f8-cb13-4716-887d-df583feb2383
|
12
|
|
Distributed State Estimation for Multi-Feeder Distribution Grids, file 54d94b26-a9cd-4bbb-a385-8963041bb4be
|
12
|
|
Bayesian Approach for Distribution System State Estimation With Non-Gaussian Uncertainty Models, file e2f56ed6-eced-3eaf-e053-3a05fe0a5d97
|
12
|
|
Assessing Feature Importance for Short-Term Prediction of Electricity Demand in Medium-Voltage Loads, file e2f56eda-9908-3eaf-e053-3a05fe0a5d97
|
12
|
|
Design of Compressive Sensing Adaptive Taylor-Fourier Comb Filters for Harmonic Synchrophasor Estimation, file 55144f2a-bb95-4547-a922-55bc57832332
|
11
|
|
Statistical Behavior of PMU Measurement Errors: An Experimental Characterization, file db86ad11-3e55-4feb-8479-511c3060196f
|
11
|
|
Low-latency, three-phase pmu algorithms: Review and performance comparison, file e2f56eda-8d51-3eaf-e053-3a05fe0a5d97
|
11
|
|
PMU-based distribution system state estimation with adaptive accuracy exploiting local decision metrics and IoT paradigm, file e2f56ed6-eed8-3eaf-e053-3a05fe0a5d97
|
10
|
|
New Kalman Filter Approach Exploiting Frequency Knowledge for Accurate PMU-based Power System State Estimation, file e2f56ed9-5940-3eaf-e053-3a05fe0a5d97
|
10
|
|
Refined Modeling and Compensation of Current Transformers Behavior for Line Parameters Estimation Based on Synchronized Measurements, file 34bec4df-75d5-423e-8002-6fe460a0447f
|
9
|
|
An efficient and accurate solution for distribution system state estimation with multiarea architecture, file e2f56ed6-7c16-3eaf-e053-3a05fe0a5d97
|
9
|
|
New Kalman Filter Approach Exploiting Frequency Knowledge for Accurate PMU-based Power System State Estimation, file e2f56ed9-6a8a-3eaf-e053-3a05fe0a5d97
|
9
|
|
Sensitivity projections for a dual-phase argon TPC optimized for light dark matter searches through the ionization channel, file 1c0448b7-da9b-4d50-9214-6ca0d565bc0e
|
8
|
|
A Fast and Accurate PMU Algorithm for P+M Class Measurement of Synchrophasor and Frequency, file e2f56ed3-c880-3eaf-e053-3a05fe0a5d97
|
7
|
|
A distributed PMU for electrical substations with wireless redundant process bus, file e2f56ed3-dcd1-3eaf-e053-3a05fe0a5d97
|
7
|
|
Effect of Unbalance on Positive-Sequence Synchrophasor, Frequency, and ROCOF Estimations, file e2f56ed7-93e9-3eaf-e053-3a05fe0a5d97
|
7
|
|
Compressive Sensing-Based Harmonic Sources Identification in Smart Grids, file e2f56ed9-6c4e-3eaf-e053-3a05fe0a5d97
|
7
|
|
Transmission line parameters estimation in the presence of realistic PMU measurement error models, file 3c9a580a-a1cc-4aea-9675-62fd7ae13c89
|
6
|
|
Trade-Offs in PMU Deployment for State Estimation in Active Distribution Grids, file e2f56ed3-adb0-3eaf-e053-3a05fe0a5d97
|
6
|
|
Compressive Sensing of a Taylor-Fourier Multifrequency Model for Synchrophasor Estimation, file e2f56ed5-b64a-3eaf-e053-3a05fe0a5d97
|
6
|
|
null, file e2f56ed6-05e6-3eaf-e053-3a05fe0a5d97
|
6
|
|
Active Phasor Data Concentrator performing adaptive management of latency, file e2f56ed7-aad0-3eaf-e053-3a05fe0a5d97
|
6
|
|
Impact of Current and Power Measurements on Distribution System State Estimation Uncertainty, file e2f56ed8-b04d-3eaf-e053-3a05fe0a5d97
|
6
|
|
Measurement Platform for Latency Characterization of Wide Area Monitoring, Protection and Control Systems, file 2b2fd6f3-66fa-4861-929a-9921432cdb2b
|
5
|
|
Design and Performance Prediction of Space Vector-Based PMU Algorithms, file e2f56ed6-7491-3eaf-e053-3a05fe0a5d97
|
5
|
|
Harmonic Synchrophasors Measurement Algorithms with Embedded Compensation of Voltage Transformer Frequency Response, file e2f56ed9-6a8e-3eaf-e053-3a05fe0a5d97
|
5
|
|
DMS Cyber-Physical Simulation for Assessing the Impact of State Estimation and Communication Media in Smart Grid Operation, file e2f56ed3-9ea9-3eaf-e053-3a05fe0a5d97
|
4
|
|
Robustness-oriented meter placement for Distribution Systems State Estimation in presence of network parameters uncertainty, file e2f56ed3-c38a-3eaf-e053-3a05fe0a5d97
|
4
|
|
Efficient branch-current-based distribution system state estimation including synchronized measurements, file e2f56ed3-c5e7-3eaf-e053-3a05fe0a5d97
|
4
|
|
Analysis of PMU response under voltage fluctuations in distribution grids, file e2f56ed5-c5f2-3eaf-e053-3a05fe0a5d97
|
4
|
|
Adaptive management of synchrophasor latency for an active phasor data concentrator, file e2f56ed6-dd07-3eaf-e053-3a05fe0a5d97
|
4
|
|
Compensation of systematic measurement errors in a PMU-based monitoring system for electric distribution grids, file e2f56ed8-872c-3eaf-e053-3a05fe0a5d97
|
4
|
|
Space Vector Taylor-Fourier Models for Synchrophasor, Frequency, and ROCOF Measurements in Three-Phase Systems, file e2f56ed8-c823-3eaf-e053-3a05fe0a5d97
|
4
|
|
Tracking Power Systems Events: PMU, Reporting Rate, Interpolation, file 23bed47d-1ea2-4465-9f1a-65b3f56cc692
|
3
|
|
Enhanced PMU-based Wide Area Measurement System with Integrated Power Quality and Fault Analysis, file 3e5a5260-609a-47bb-b75a-4fa50b3b86bf
|
3
|
|
Effects of Measurements and Pseudomeasurements Correlation in Distribution System State Estimation, file e2f56ed3-a36a-3eaf-e053-3a05fe0a5d97
|
3
|
|
Bayesian distribution system state estimation in presence of non-Gaussian pseudo-measurements, file e2f56ed5-be2a-3eaf-e053-3a05fe0a5d97
|
3
|
|
Assessment of time synchronization quality in a distributed PMU, file e2f56ed5-c0b1-3eaf-e053-3a05fe0a5d97
|
3
|
|
Automated test system to assess reporting latency in PMUs, file e2f56ed5-c264-3eaf-e053-3a05fe0a5d97
|
3
|
|
Interoperability of phasor measurement units under voltage unbalance conditions, file e2f56ed7-7f81-3eaf-e053-3a05fe0a5d97
|
3
|
|
Impact of Measurement Accuracy on Fault Detection Obtained with Compressive Sensing, file e2f56ed8-178a-3eaf-e053-3a05fe0a5d97
|
3
|
|
Identification and Estimation of Harmonic Sources Based on Compressive Sensing, file e2f56ed8-5637-3eaf-e053-3a05fe0a5d97
|
3
|
|
Improved Fine Particles Monitoring in Smart Cities by Means of Advanced Data Concentrator, file e2f56ed9-7e3b-3eaf-e053-3a05fe0a5d97
|
3
|
|
Enhanced PMU-Based Line Parameters Estimation and Compensation of Systematic Measurement Errors in Power Grids Considering Multiple Operating Conditions, file e2f56eda-33a2-3eaf-e053-3a05fe0a5d97
|
3
|
|
Compressive Sensing Taylor-Fourier and Windowing Approach for Synchronized Phasor, Frequency and ROCOF Measurements, file 0044a706-5a1d-4908-86ad-2ae25940ac19
|
2
|
|
Hardware for PMU and PMU Integration, file 2824869b-b1fd-4fd7-ad8e-2558824e7be4
|
2
|
|
Power Quality Data Platform for Analysis and Location of Voltage Dips: a Preliminary Study, file 50fb5d62-ec3e-4612-9609-3c692980f6fe
|
2
|
|
IoT cloud-based distribution system state estimation: Virtual objects and context-awareness, file b039defd-81b0-4cfb-927b-1854eb6782d8
|
2
|
|
Integration of power quality and fault data into a PMU-based Wide Area Monitoring System, file b4dfbc49-7e2d-4c47-b26b-5d14a44504c7
|
2
|
|
State Estimation and PMUs, file d341a3cc-b3d7-4526-b6a3-391ea85238b1
|
2
|
|
Electrical distribution system state estimation: measurement issues and challenges, file e2f56ed3-a253-3eaf-e053-3a05fe0a5d97
|
2
|
|
null, file e2f56ed3-c31a-3eaf-e053-3a05fe0a5d97
|
2
|
|
Smart electric energy measurements in power distribution grids, file e2f56ed3-d62e-3eaf-e053-3a05fe0a5d97
|
2
|
|
Dynamic fundamental and harmonic synchrophasor estimation by Extended Kalman filter, file e2f56ed5-c4af-3eaf-e053-3a05fe0a5d97
|
2
|
|
Uncertainty sources affecting voltage profile in Distribution System State Estimation, file e2f56ed5-c9bf-3eaf-e053-3a05fe0a5d97
|
2
|
|
Low-Cost Battery Monitoring by Converter-Based Electrochemical Impedance Spectroscopy, file e2f56ed7-39c7-3eaf-e053-3a05fe0a5d97
|
2
|
|
Dynamic Synchrophasor Estimation by Extended Kalman Filter, file e2f56ed9-1110-3eaf-e053-3a05fe0a5d97
|
2
|
|
A Hybrid Control System for LC filters that couple Energy Storage Systems with AC grids, file e2f56ed9-6693-3eaf-e053-3a05fe0a5d97
|
2
|
|
Low-cost energy meter with power quality functionalities, file e2f56ed9-794a-3eaf-e053-3a05fe0a5d97
|
2
|
|
Impact of Measurement Uncertainties on Compressive Sensing-based Harmonic Source Estimation Algorithms, file e2f56eda-9235-3eaf-e053-3a05fe0a5d97
|
2
|
| Totale |
9.506 |