Matt Mazhari
Title
Cited by
Cited by
Year
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
982013
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
642014
A Multi-Objective Distribution System Expansion Planning Incorporating Customer Choices on Reliability
SM Mazhari, H Monsef, R Romero
IEEE Transactions on Power Systems, 2016
452016
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
442015
Dynamic sub-transmission substation expansion planning using learning automata
SM Mazhari, H Monsef
Electric Power Systems Research 96, 255-266, 2013
312013
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
222014
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
20*2014
A hybrid heuristic and evolutionary algorithm for distribution substation planning
SM Mazhari, H Monsef, R Romero
IEEE Systems Journal 9 (4), 1396-1408, 2013
202013
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
112016
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
102018
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
102017
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
82018
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
62018
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
52014
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
42018
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
42017
A new method for simultaneous determination of distribution substation optimal service areas and capacities using modified membership matrix
SM Mazhari
2012 11th International Conference on Environment and Electrical Engineering …, 2012
32012
A large-change sensitivity based approach for distributed harmonic resonance assessment in multi-area interconnected power systems
SM Mazhari, A Sahami, SM Kouhsari
2018 IEEE Power and Energy Conference at Illinois (PECI), 1-8, 2018
22018
A new model for multi-objective PMU placement considering actual worth of uncertainties using cellular learning automata
SM Mazhari, H Lesani
COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN …, 2012
22012
A Hybrid Probabilistic Wind Power Prediction Based on An Improved Decomposition Technique and Kernel Density Estimation
B Khorramdel, M Azizi, N Safari, CY Chung, SM Mazhari
2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018
12018
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