Behrouz Azimian

Behrouz Azimian

Arizona State University

H-index: 6

North America-United States

About Behrouz Azimian

Behrouz Azimian, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Renewable Energy, Power Systems, State Estimation, Machine Learning, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep Neural Network-Based State Estimator for Transmission System Considering Practical Implementation Challenges

Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation

Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN

Analytical verification of deep neural network performance for time-synchronized distribution system state estimation

Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes

PMU-Timescale Topology Identification of Sub-station Node-Breaker Models using Deep Learning

Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges

State and topology estimation for unobservable distribution systems using deep neural networks

Behrouz Azimian Information

University

Position

___

Citations(all)

117

Citations(since 2020)

117

Cited By

33

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Behrouz Azimian Skills & Research Interests

Renewable Energy

Power Systems

State Estimation

Machine Learning

Optimization

Top articles of Behrouz Azimian

Deep Neural Network-Based State Estimator for Transmission System Considering Practical Implementation Challenges

Journal of Modern Power Systems and Clean Energy

2024/4/9

Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation

Journal of Modern Power Systems and Clean Energy

2023/12/5

Creating Temporally Correlated High-Resolution Power Injection Profiles Using Physics-Aware GAN

arXiv preprint arXiv:2311.12166

2023/11/20

Behrouz Azimian
Behrouz Azimian

H-Index: 4

Anamitra Pal
Anamitra Pal

H-Index: 14

Analytical verification of deep neural network performance for time-synchronized distribution system state estimation

arXiv preprint arXiv:2311.06973

2023/11/12

Time-Synchronized State Estimation Using Graph Neural Networks in Presence of Topology Changes

2023/10/15

Behrouz Azimian
Behrouz Azimian

H-Index: 4

Anamitra Pal
Anamitra Pal

H-Index: 14

PMU-Timescale Topology Identification of Sub-station Node-Breaker Models using Deep Learning

2023/7/16

Time-Synchronized Full System State Estimation Considering Practical Implementation Challenges

arXiv preprint arXiv:2212.01729

2022/12/4

State and topology estimation for unobservable distribution systems using deep neural networks

IEEE transactions on instrumentation and measurement

2022/4/18

Time synchronized state estimation for incompletely observed distribution systems using deep learning considering realistic measurement noise

2021/7/26

Stochastic AC network-constrained scheduling of caes and wind power generation in joint energy and reserve market: Toward more realistic results

arXiv preprint arXiv:2102.10703

2021/2/21

A micro-PMU placement scheme for distribution systems considering practical constraints

2020/8/2

See List of Professors in Behrouz Azimian University(Arizona State University)