A Hybrid Artificial Intelligence Based Iot Model for Generation of Renewable Energy Sources

Abstract

A noticeable raise has been in the use of different renewable energy technologies worldwide. The installed capacity of renewable energy sources (RES) including solar PV and wind power has grown quickly as a result of attractive investment opportunities in many nations. At the global level, 27.3% of all energy sources were produced by these variable renewable power energy sources. The usage of internet of things (IoT) in the energy output of solar PV systems can enable smart cities fulfill their energy demands more effectively. Recent improvements in IoT systems have been aided by a diverse set of artificial intelligence (AI)-based sensors. This paper aims to create a solar PV energy measuring using Arduino Board technology. A light dependent resistor (LDR) sensor was used to detect the intensity of the light. Because the voltage generated by the solar panel is too high for the Arduino to function as a receiver, the voltage was measured using a voltage divider. The energy production data from the solar PV system is wirelessly sent over the internet to the Arduino UNO module, which manages the energy sources. The IoT is utilized to manage the sent data remotely.