A Novel MPPT Algorithm Based on Particle Swarm Optimization for Photovoltaic Systems

By Ramdan B. A. Koad, Ahmed Faheem Zobaa, Adel El-Shahat. IEEE Transactions on Sustainable Energy, 2017

334 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/686c964481e3c2010ed5f1ca7731833e46ab0e1f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Frede Blaabjerg

In Electrical and Electronic Engineering

1. Frede Blaabjerg
2. Xiongfei Wang
3. Huai Wang
4. Marco Liserre
5. Friedrich Wilhelm Fuchs
6. Yun Wei Li
7. Poh Chiang Loh

In Renewable Energy, Sustainability and the Environment

1. Frede Blaabjerg

Citations in the corpus

• An Experimental Estimation of Hybrid ANFIS–PSO-Based MPPT for PV Grid Integration Under Fluctuating Sun Irradiance (2020, methodology): “The recent artificial intelligent algorithms, such as particle swarm optimization (PSO), firefly algorithm, artificial bee colony (ABC), and ant colony optimization (ACO), are used to solve optimized problems [12]–[15].”