Deep Learning Based on Wireless Remote Sensing Model for Monitoring the Solar System Inverter

Traditional energy sources have become one of the most serious causes of environmental pollution because of the growing demand for energy. Because of the carbon emissions that have recently increased greatly, we had to search for a safe, cheap, and environmentally friendly energy source. Many photov...

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Bibliographic Details
Published in:Complexity (New York, N.Y.) N.Y.), 2021, Vol.2021 (1)
Main Authors: Wang, Xiaoyan, Xu, Gaokui
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Brain
Carbon
Control systems
Deep learning
Efficiency
Electric power
Electricity
Electricity distribution
Energy sources
Feature extraction
Internet of Things
Inverters
Iterative methods
Machine learning
Neural networks
Photovoltaic cells
Remote monitoring
Remote sensing
Solar energy
Solar panels
Solar power generation
Weather
Windpowered generators
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Summary:Traditional energy sources have become one of the most serious causes of environmental pollution because of the growing demand for energy. Because of the carbon emissions that have recently increased greatly, we had to search for a safe, cheap, and environmentally friendly energy source. Many photovoltaic (PV) solar panels are used as an energy source because of free and environmental friendliness. However, this technology has become a source of inspiration for many researchers. The proposed method suggests to extract useful features from PV and wind generators and then train the system to control them and update the inputs according to prediction results. Solar energy produces energy that varies according to the external influences and the immediate changes in weather conditions. Solar panels are connected through an inverter with the grid, through which the work of the solar panels is monitored using the Internet. It is worth using neural networks (NN) to control variables and adopt system output of previous iteration in processing operations. Use of deep learning (DL) in the control of solar energy panels helps reduce the direct surveillance of the system online. Solar power generation systems mainly depend on reducing the pollution resulting from carbon emissions. Saving CO2 emission is the main purpose of PV panel cells, so smart monitoring can achieve better result in that case.
ISSN:1076-2787
1099-0526
DOI:10.1155/2021/5561975