Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
"Load Flow Analysis Framework for Active Distribution Networks Based on Smart Meter Reading System"
written by Merkebu Zenebe Degefa, Robert John Millar, Matti Koivisto, Muhammad Humayun, Matti Lehtonen,
published by Engineering, Vol.5 No.10A, 2013
has been cited by the following article(s):
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[2] Privacy-preserving methods for smart-meter-based network simulations
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[3] Flexible criteria for assessing EV hosting capacity in stochastic load-flow simulations.
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[4] Distribution Systems
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[5] Load Modeling Approaches in Smart Grids: An Overview
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[6] Distribution system
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[7] Βέλτιστη διαχείριση μετρήσεων για ενίσχυση παρατηρησιμότητας και ακρίβειας σε εκτιμητές κατάστασης συστημάτων ηλεκτρικής ενέργειας με ελλιπή δεδομένα
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[8] Design and implementation of remote intelligent meter reading system
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[9] Cost Benefit Analysis of Smart Meter Deployment for Residential Customers, a Holistic Approach
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[10] Load flow analysis of radial and mesh distribution system using ZIP model
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[11] Επίδραση της καθυστέρησης αποστολής δεδομένων έξυπνων μετρητών στην εκτίμηση φορτίου και κατάστασης σε δίκτυα διανομής
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[12] Processing of smart meters data for peak load estimation of consumers
Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on, 2015
[13] Finding Value in Big Data-Statistical Analysis of Large Data Sets with Applications in Electric Power Systems
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[14] Use of Near Real-Time and Delayed Smart Meter Data for Distribution System Load and State Estimation
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[15] Deliverable 3.3-Advanced Local Distribution Grid Monitoring/State-Estimation
Dissertation, Open Repository of the University of Porto, 2014
[16] Unlocking distribution network capacity through real-time thermal rating for high penetration of DGs
Electric Power Systems Research , 2014
[17] Use of data from smart meters in optimal operation of distribution systems
2014 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), 2014
[18] Utilization Improvement of Transformers Using Demand Response
M Humayun, MZ Degefa, A Safdarian, M Lehtonen - ieeexplore.ieee.org, 2014
[19] Customer classification and load profiling using data from Smart Meters
Neural Network Applications in Electrical Engineering (NEUREL), 2014 12th Symposium on, 2014
[20] Dynamic thermal state forecasting of distribution network components: For enhanced active distribution network capacity
Probabilistic Methods Applied to Power Systems (PMAPS), 2014 International Conference on, 2014
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