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.
| Original language | English |
|---|---|
| Pages (from-to) | S184-S188 |
| Journal | Materials Today: Proceedings |
| Volume | 62 |
| DOIs | |
| Publication status | Published - Jan 2022 |
Keywords
- ANN
- Artificial intelligence
- Linear regression
- Machine learning
- Supercapacitor
ASJC Scopus subject areas
- General Materials Science
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