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A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
by
Sahoo, Subham
, Blaabjerg, Frede
, Kurukuru, Varaha Satra Bharath
, Haque, Ahteshamul
, Malik, Azra
, Khan, Mohammed Ali
in
Artificial intelligence
/ condition monitoring
/ Datasets
/ Design optimization
/ Fault diagnosis
/ Forecasting
/ Forecasting techniques
/ irradiance forecasting
/ Linear programming
/ Neural networks
/ optimal sizing
/ Parameter identification
/ photovoltaic systems
/ Systems design
/ transition control
/ Trends
2021
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A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
by
Sahoo, Subham
, Blaabjerg, Frede
, Kurukuru, Varaha Satra Bharath
, Haque, Ahteshamul
, Malik, Azra
, Khan, Mohammed Ali
in
Artificial intelligence
/ condition monitoring
/ Datasets
/ Design optimization
/ Fault diagnosis
/ Forecasting
/ Forecasting techniques
/ irradiance forecasting
/ Linear programming
/ Neural networks
/ optimal sizing
/ Parameter identification
/ photovoltaic systems
/ Systems design
/ transition control
/ Trends
2021
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Do you wish to request the book?
A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
by
Sahoo, Subham
, Blaabjerg, Frede
, Kurukuru, Varaha Satra Bharath
, Haque, Ahteshamul
, Malik, Azra
, Khan, Mohammed Ali
in
Artificial intelligence
/ condition monitoring
/ Datasets
/ Design optimization
/ Fault diagnosis
/ Forecasting
/ Forecasting techniques
/ irradiance forecasting
/ Linear programming
/ Neural networks
/ optimal sizing
/ Parameter identification
/ photovoltaic systems
/ Systems design
/ transition control
/ Trends
2021
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A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
Journal Article
A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems
2021
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Overview
The use of artificial intelligence (AI) is increasing in various sectors of photovoltaic (PV) systems, due to the increasing computational power, tools and data generation. The currently employed methods for various functions of the solar PV industry related to design, forecasting, control, and maintenance have been found to deliver relatively inaccurate results. Further, the use of AI to perform these tasks achieved a higher degree of accuracy and precision and is now a highly interesting topic. In this context, this paper aims to investigate how AI techniques impact the PV value chain. The investigation consists of mapping the currently available AI technologies, identifying possible future uses of AI, and also quantifying their advantages and disadvantages in regard to the conventional mechanisms.
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