Suivre
Behrouz Azimian
Titre
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State and topology estimation for unobservable distribution systems using deep neural networks
B Azimian, RS Biswas, S Moshtagh, A Pal, L Tong, G Dasarathy
IEEE transactions on instrumentation and measurement 71, 1-14, 2022
382022
A micro-PMU placement scheme for distribution systems considering practical constraints
RS Biswas, B Azimian, A Pal
2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020
262020
Stackelberg game approach on modeling of supply demand behavior considering BEV uncertainty
B Azimian, RF Fijani, E Ghotbi, X Wang
2018 IEEE International Conference on Probabilistic Methods Applied to Power …, 2018
262018
Time synchronized state estimation for incompletely observed distribution systems using deep learning considering realistic measurement noise
B Azimian, RS Biswas, A Pal, L Tong
2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021
92021
A Novel Double-Loop Control Structure Based on Fuzzy-PI and Fuzzy-PR Strategies for Single-Phase Inverter in Photovoltaic Application
P Mohammadi, B Azimian, A Shahirinia
2018 North American Power Symposium (NAPS), 1-6, 2018
92018
Game theory approach on modeling of residential electricity market by considering the uncertainty due to the battery electric vehicles (bevs)
RF Fijani, B Azimian, E Ghotbi, X Wang
arXiv preprint arXiv:1902.05028, 2019
82019
Cross-platform comparison of standard power system components used in real time simulation
B Azimian, PM Adhikari, L Vanfretti, H Hooshyar
2019 7th Workshop on Modeling and Simulation of Cyber-Physical Energy …, 2019
62019
Analytical verification of deep neural network performance for time-synchronized distribution system state estimation
B Azimian, S Moshtagh, A Pal, S Ma
arXiv preprint arXiv:2311.06973, 2023
32023
Deep Neural Network-Based State Estimator for Transmission System Considering Practical Implementation Challenges
AC Varghese, H Shah, B Azimian, A Pal, E Farantatos
Journal of Modern Power Systems and Clean Energy, 2024
12024
Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes
S Moshtagh, AI Sifat, B Azimian, A Pal
2023 North American Power Symposium (NAPS), 1-6, 2023
12023
Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
AC Varghese, H Shah, B Azimian, A Pal, E Farantatos
arXiv preprint arXiv:2212.01729, 2022
12022
Stochastic AC network-constrained scheduling of caes and wind power generation in joint energy and reserve market: Toward more realistic results
M Ghaljehei, M Rahimi, Z Soltani, B Azimian, B Vatandoust, MA Golkar
arXiv preprint arXiv:2102.10703, 2021
12021
Minimization of Ohmic Losses in Power Networks by Utilization of Interphase Power Controllers
B Azimian, A Helmzadeh, A Shahirinia
2018 North American Power Symposium (NAPS), 1-6, 2018
12018
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation
B Azimian, S Moshtagh, A Pal, S Ma
Journal of Modern Power Systems and Clean Energy, 2023
2023
Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN
HG Shah, B Azimian, A Pal
arXiv preprint arXiv:2311.12166, 2023
2023
Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN
H Gopal Shah, B Azimian, A Pal
arXiv e-prints, arXiv: 2311.12166, 2023
2023
PMU-Timescale Topology Identification of Sub-station Node-Breaker Models using Deep Learning
B Azimian, A Pal, B Abu-Jaradeh, L Chen, P Markham
2023 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2023
2023
Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges
A Cheeramban Varghese, H Shah, B Azimian, A Pal, E Farantatos
arXiv e-prints, arXiv: 2212.01729, 2022
2022
High-Speed State Estimation in Power Systems with Extreme Unobservability Using Machine Learning.
AC Varghese, H Shah, B Azimian, A Pal, E Farantatos, M Patel, P Myrda
CoRR, 2022
2022
Can Renewables Stimulate BEV Demands?-Technical Principles and Cross-Country Empirical Studies
X Li, B Azimian, P Chen, X Wang
2019 IEEE Industry Applications Society Annual Meeting, 1-9, 2019
2019
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