New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks

By T. Kottas, Yiannis S. Boutalis, A. Karlis. IEEE transactions on energy conversion, 2006

369 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/584d7075dd29a1adbfd0eb8775b050202aa5907a

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. Chian-Song Chiu
2. Pr Djamila Rekioua

In Renewable Energy, Sustainability and the Environment

1. Chian-Song Chiu
2. Pr Djamila Rekioua
3. Rached Dhaouadi
4. Ahmad Al Nabulsi

Citations in the corpus

• Optimization of Photovoltaic Power Systems (2012, methodology): “The fill factor is defined as follows FF ¼ PMPP Voc Isc ¼ VMPP:IMPP Voc Isc ð1:10Þ”
• T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems (2010, methodology): “2041551 tracking (MPPT), such as perturb-and-observe method [3]–[5], incremental conductance method [6], curve fitting method [7], fuzzy logic methods [8]–[11], neural networks [12]–[14], etc.”