2026-10-12T06:27:13Z https://data.mendeley.com/oai

oai:data.mendeley.com/3fr92f4xy9.1 2022-08-17T20:27:48Z

Mahto, Rakeshkumar Simulation Dataset of Partial Shading and Fault of a Photovoltaic Module Mendeley Data Micro-autonomous or remotely controlled drones are getting popular for search and rescue missions during natural or human-made disasters. A photovoltaic-based power source is ideal for prolonging the flight time and multi-role ability of the drone. However, during various lighting conditions and adverse operating conditions, the PV panels' performance can deteriorate and adversely affect micro-autonomous performance. Hence, a dataset for 10 GaAs/Ge Single Junction PV cells by Spectrolab is presented. The dataset is generated using python and LTSpice at various temperatures, configurations, lighting conditions, and open/short circuit faults. For modeling PV cells, 2-diode based equivalent circuit model is used. The dataset is generated using LTSpice and Python. Photovoltaics Machine Learning Spice Energy Conversion Sood, Kanika Ruppert, Nathaniel Dataset doi:10.17632/3fr92f4xy9.1 oai:data.mendeley.com/3fr92f4xy9.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/3fr92f4xy9 2022-08-17T20:27:48Z