MPPT of PV Systems Under Partial Shaded Conditions Through a Colony of Flashing Fireflies

By Kinattingal Sundareswaran, Sankar Peddapati, Sankaran Palani. IEEE transactions on energy conversion, 2014

364 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/11a3adfb1f6a7d700efff4f066e6d3ca07b393c3

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. Yousef A. Mahmoud
2. N. Rajasekar
3. J. Prasanth Ram
4. Ehab F. El-Saadany

In Electrical and Electronic Engineering

1. Yousef A. Mahmoud
2. N. Rajasekar
3. J. Prasanth Ram
4. Ehab F. El-Saadany

In Renewable Energy, Sustainability and the Environment

1. Yousef A. Mahmoud
2. N. Rajasekar
3. J. Prasanth Ram
4. Ehab F. El-Saadany

Citations in the corpus

• A Novel MPPT Technique Based on an Image of PV Modules (2017, background): “Moreover, they rely heavily on the precision of a few parameters [22] and cause oscillations in output power before reaching the GMPP [19], [23].”
• A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking (2017, methodology): “Moreover, parameter initialization is also a tedious process involved in PSO technique [2], [26]–[28].”