Dynamic global power extraction from partially shaded photovoltaic using deep recurrent neural network and improved PSO techniques-Reference-Cited by-同舟云学术

Dynamic global power extraction from partially shaded photovoltaic using deep recurrent neural network and improved PSO techniques

Author:

Farh Hassan M.H.¹²^ORCID,Eltamaly Ali M.³⁴^ORCID,Ibrahim Ahmed B.⁵,Othman Mohd F.²,Al‐Saud Mamdooh S.¹⁶

Affiliation:

1. Electrical Engineering Department, College of EngineeringKing Saud University Riyadh 11421 Saudi Arabia

2. Malaysia‐Japan International Institute of TechnologyUniversiti Teknologi Malaysia Kuala Lumpur Malaysia

3. Sustainable Energy Technologies CenterKing Saud University Riyadh 11421 Saudi Arabia

4. Electrical Engineering DepartmentMansoura University Mansoura Egypt

5. KACST‐TIC in Radio Frequency and Photonics for the e‐Society (RFTONICS)King Saud University Riyadh 11421 Saudi Arabia

6. Saudi Electricity Company Chair in Power System Reliability and SecurityKing Saud University Riyadh 11421 Saudi Arabia

Funder

Deanship of Scientific Research, King Saud University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

Reference45 articles.

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