A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

Varaha Satra Bharath Kurukuru; Ahteshamul Haque; Mohammed Ali Khan; Subham Sahoo; Azra Malik; Frede Blaabjerg

doi:10.3390/en14154690

A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

Varaha Satra Bharath Kurukuru, Ahteshamul Haque, Mohammed Ali Khan, Subham Sahoo, Azra Malik, Frede Blaabjerg

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Number of pages	35
Journal	Energies
DOIs	https://doi.org/10.3390/en14154690
Publication status	Published - 2 Aug 2021
Externally published	Yes

Keywords

artificial intelligence
photovoltaic systems
optimal sizing
irradiance forecasting
condition monitoring
transition control
reliability

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10.3390/en14154690

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title = "A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems",

abstract = "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. ",

keywords = "artificial intelligence, photovoltaic systems, optimal sizing, irradiance forecasting, condition monitoring, transition control, reliability",

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AU - Sahoo, Subham

AU - Malik, Azra

AU - Blaabjerg, Frede

PY - 2021/8/2

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N2 - 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.

AB - 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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KW - photovoltaic systems

KW - optimal sizing

KW - irradiance forecasting

KW - condition monitoring

KW - transition control

KW - reliability

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M3 - Article

JO - Energies

JF - Energies

ER -

A Review on Artificial Intelligence Applications for Grid-Connected Solar Photovoltaic Systems

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Keywords

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