Adekoya, Gbolahan JosephAdekoya, Oluwasegun ChijiokeUgo, Ugonna KingsleySadiku, Emmanuel RotimiHamam, YskandarRay, Suprakas Sinha2024-07-032024-07-032022-05-182214-7853https://hdl.handle.net/20.500.14519/405Supercapacitors 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.enAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Artificial intelligenceMachine learningSupercapacitorANNLinear regressionArticle