A mini-review of artificial intelligence techniques for predicting the performance of supercapacitors
Adekoya, Gbolahan Joseph Adekoya, Oluwasegun Chijioke Ugo, Ugonna Kingsley Sadiku, Emmanuel Rotimi Hamam, Yskandar Ray, Suprakas Sinha
Adekoya, Gbolahan Joseph
Adekoya, Oluwasegun Chijioke
Ugo, Ugonna Kingsley
Sadiku, Emmanuel Rotimi
Hamam, Yskandar
Ray, Suprakas Sinha
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Abstract
Supercapacitors are used to store and release electrical charges like batteries and conventional capacitors. Unlike conventional capacitors, they have higher capacitance and power density, and they charge faster than batteries can. Supercapacitors are mainly classified as hybrid supercapacitors, pseudocapacitors, and electrochemical double-layer capacitors. To predict the application behaviour and optimization of supercapacitors, artificial intelligence, specifically machine language is utilized more recently. Models based on
artificial intelligence are less complicated and maybe accurate enough. This paper identifies machine language models that have been employed to predict the supercapacitors’ performance.
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Date
2022-05-18
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Publisher
Elsevier Ltd.
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Keywords
Artificial intelligence, Machine learning, Supercapacitor, ANN, Linear regression