Zandi, Z. and Mazinan, A.H. (2019) Maximum Power Point Tracking of the Solar Power Plants in Shadow Mode through Artificial Neural Network. Complex & Intelligent Systems, 5, 315-330.
https://doi.org/10.1007/s40747-019-0096-1

has been cited by the following article:

• TITLE: Solar Energy Recovery and Storage System for Powering Wireless Communicating Nodes

  AUTHORS: Salick Diagne, Abdou Karim Farota, Ognadon Assogba, Bouya Diop, Thierry Val

  KEYWORDS: Solar Energy, Energy Recovery, Supercapacitor, Fuzzy Logic

  JOURNAL NAME: Energy and Power Engineering, Vol.13 No.12, December 7, 2021

  ABSTRACT: We find nowadays in several fields of application the presence of IoT technology such as wireless sensor and actuator networks. In this technology, one of the main points of study is the management of energy consumption. In this article, we provide a solar energy harvesting and storage system for powering wireless nodes. The system we propose uses a low power solar pane a P & O control adapted to fuzzy logic for the MPPT. For energy storage, we used the supercapacitor technology. The simulation of the models shows better results than using the P & O command for an autonomous power supply of the wireless communicating nodes in the study region.