New Reduced Model approach for Power System State Estimation Using Artificial Neural Networks and Principal Component Analysis-Reference-Cited by-同舟云学术

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New Reduced Model approach for Power System State Estimation Using Artificial Neural Networks and Principal Component Analysis

Published:2014-11 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE Electrical Power and Energy Conference
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Author:

Onwuachumba Amamihe,Musavi Mohamad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7051396/7051653/07051666.pdf?arnumber=7051666

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design and Evaluation of Low Voltage Neural Network-Based State Estimators in Scenarios With Minimal Measurement Infrastructure;IEEE Access;2024

2. Data driven approach for power system state estimation with consideration of multi-level noise;2023 International Conference on Emerging Power Technologies (ICEPT);2023-05-06

3. Online Estimation of Plant Participation Factors for Automatic Generation Control in Power Systems With Variable Energy Resources;IEEE Transactions on Industry Applications;2022-07

4. Advancement of automatic generation control in power systems with large share of variable energy resources;2021 IEEE Industry Applications Society Annual Meeting (IAS);2021-10-10

5. On the security of ANN-based AC state estimation in smart grid;Computers & Security;2021-06

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