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Matt Mazhari
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A multi-objective PMU placement method considering measurement redundancy and observability value under contingencies
SM Mazhari, H Monsef, H Lesani, A Fereidunian
IEEE Transactions on Power Systems 28 (3), 2136-2146, 2013
1372013
Fault indicator deployment in distribution systems considering available control and protection devices: a multi-objective formulation approach
A Shahsavari, SM Mazhari, A Fereidunian, H Lesani
IEEE Transactions on Power Systems 29 (5), 2359-2369, 2014
852014
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability
SM Mazhari, H Monsef, R Romero
IEEE Transactions on Power Systems, 2016
662016
A joint automatic and manual switch placement within distribution systems considering operational probabilities of control sequences
A Shahsavari, A Fereidunian, SM Mazhari
International Transactions on Electrical Energy Systems 25 (11), 2745-2768, 2015
562015
Dynamic sub-transmission substation expansion planning using learning automata
SM Mazhari, H Monsef
Electric Power Systems Research 96, 255-266, 2013
362013
A Hybrid Fault Cluster and Thevenin Equivalent Based Framework for Rotor Angle Stability Prediction
SM Mazhari, N Safari, CY Chung, I Kamwa
IEEE Transactions on Power Systems, 2018
332018
A hybrid heuristic and learning automata‐based algorithm for distribution substations siting, sizing and defining the associated service areas
SM Mazhari, H Monsef, H Falaghi
International Transactions on Electrical Energy Systems 24 (3), 433-456, 2014
292014
A hybrid heuristic and evolutionary algorithm for distribution substation planning
SM Mazhari, H Monsef, R Romero
IEEE Systems Journal 9 (4), 1396-1408, 2013
232013
Rotor angle stability prediction of power systems with high wind power penetration using a stability index vector
Y Chen, SM Mazhari, CY Chung, SO Faried, BC Pal
IEEE Transactions on Power Systems 35 (6), 4632-4643, 2020
222020
Very short-term wind power prediction interval framework via bi-level optimization and novel convex cost function
N Safari, SM Mazhari, CY Chung
IEEE Transactions on Power Systems 34 (2), 1289-1300, 2018
222018
A Healer Reinforcement Approach to Smart Distribution Grids by Improving Fault Location Function in FLISR
A Shahsavari, A Fereidunian, A Ameli, SM Mazhari, H Lesani
13th Int. Conf. on Env. and Elect. Eng, 2014
21*2014
A quantile regression-based approach for online probabilistic prediction of unstable groups of coherent generators in power systems
SM Mazhari, N Safari, CY Chung, I Kamwa
IEEE Transactions on Power Systems 34 (3), 2240-2250, 2018
192018
A novel frequency-domain approach for distributed harmonic analysis of multi-area interconnected power systems
SM Mazhari, SM Kouhsari, A Ramirez
Electric power systems research 143, 669-681, 2017
132017
Interfacing transient stability and extended harmonic domain for dynamic harmonic analysis of power systems
SM Mazhari, SM Kouhsari, A Ramirez, E Karami
IET Generation, Transmission & Distribution 10 (11), 2720-2730, 2016
132016
A simulation-based classification approach for online prediction of generator dynamic behavior under multiple large disturbances
SM Mazhari, B Khorramdel, CY Chung, I Kamwa, D Novosel
IEEE Transactions on Power Systems 36 (2), 1217-1228, 2020
122020
Tidal current and level uncertainty prediction via adaptive linear programming
N Safari, SM Mazhari, B Khorramdel, CY Chung
IEEE Transactions on Sustainable Energy 10 (2), 748-758, 2018
102018
A Novel Hybrid Method for Short-Term Probabilistic Load Forecasting in Distribution Networks
B Wang, M Mazhari, CY Chung
IEEE Transactions on Smart Grid 13 (5), 3650-3661, 2022
72022
A dynamic harmonic domain–based framework to detect 3‐phase balanced systems under dynamic transients: the test case of inrush current in transformers
E Karami, M Madrigal, SM Kouhsari, SM Mazhari
International Transactions on Electrical Energy Systems 27 (2), e2252, 2017
72017
Comments on “Minimizing the number of PMUs and their optimal placement in power systems” in 83 (2012) 66–72
SM Mazhari, H Monsef, H Lesani, A Fereidunian
Electric Power Systems Research 114, 146-148, 2014
72014
A machine learning-based framework for fast prediction of wide-area remedial control actions in interconnected power systems
S Naderi, M Javadi, M Mazhari, CY Chung
IEEE Transactions on Power Systems 38 (1), 242-255, 2022
52022
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