State Estimation of Electrical Grids via Neural Networks-Reference-Cited by-同舟云学术

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State Estimation of Electrical Grids via Neural Networks

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
language:
Short-container-title:

Author:

Taher Abdulrahman¹,Katranji Abdulrahman¹,Alowaifeer Maad²

Affiliation:

1. King Fahd University of Petroleum and Minerals,Electrical Engineering Department,Dhahran,Saudi Arabia

2. King Fahd University of Petroleum and Minerals,Electrical Engineering Department and SDAIA-KFUPM Joint Research Canter for Artificial Intelligence,Dhahran,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10194576/10194600/10194790.pdf?arnumber=10194790

Reference24 articles.

1. Robust state estimation of electric power systems

2. Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems

3. Weighted Least Absolute Value state estimation using interior point methods

4. Comparison of three machine learning models for the prediction of hourly PV output power in Saudi Arabia

5. Robust state-estimation procedure using a Least Trimmed Squares pre-processor

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