Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System-Reference-Cited by-同舟云学术

Fully Adaptive Recurrent Neuro-Fuzzy Control for Power System Stability Enhancement in Multi Machine System

Author:

Saleem Bushra¹,Badar Rabiah²^ORCID,Manzoor Awais³^ORCID,Judge Malik Ali³^ORCID,Boudjadar Jalil⁴,Islam Saif Ul⁵^ORCID

Affiliation:

1. Department of Electrical Engineering, AJK University, Muzaffarabad, Pakistan

2. Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan

3. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

4. Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark

5. Department of Computer Science, Institute of Space Technology, Islamabad, Pakistan

Funder

Project IntellECoss by the Joint European Union (EU)-Dk Industry 4.0 Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference65 articles.

3. User comfort oriented residential power scheduling in smart homes;manzoor;Proc Int Conf Innov Mobile Internet Services Ubiquitous Comput,2017

4. Performance measurement of energy management controller using heuristic techniques;ahmed;Proc Conf Complex Intell Softw Intensive Syst,2017

5. Cost and comfort based optimization of residential load in smart grid;ahmed;Proc Int Conf Emerg Internetworking Data Web Technol,2017

Cited by 12 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

5. Advanced Acceleration and Implementation of Convolutional Neural Networks on FPGAs;2023 IEEE International Conference on High Performance Computing & Communications, Data Science & Systems, Smart City & Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2023-12-17