International Journal of Research and Scientific Innovation (IJRSI)
Artificial Intelligence Applications in Dc Solar Air Coolers: Enhancing Performance, Efficiency, and User Experience
Published March 26, 2026 • Vol. 13, Issue 3, pp. 446–458Open Access
DOI: 10.51244/IJRSI.2026.1303000039
Abstract
The merger of Artificial Intelligence (AI) and renewable energy technologies is changing the face of the sustainable cooling technology space. Among the technologies being developed in this space include DC Solar Air Coolers that are air cooling technologies that utilize Direct Current (DC) electricity that can be produced using Solar PV Panels. Solar Air Coolers are experiencing setbacks in terms of energy efficiency techniques and adaptability to environmental variability. There are also setbacks concerning maintenance and operation. The adoption of AI technologies has presented an opportunity for the development of DC Solar Air Coolers that are adaptable and fit for sustainable and efficient cooling.
Keywords: The integration of Artificial Intelligence (AI) in renewable sources of energy is revolutional in the way
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 3 |
| Pages | 446–458 |
| Publication date | March 26, 2026 |
| DOI | 10.51244/IJRSI.2026.1303000039 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Aditya Gupta (2026). Artificial Intelligence Applications in Dc Solar Air Coolers: Enhancing Performance, Efficiency, and User Experience. International Journal of Research and Scientific Innovation (IJRSI), 13(3), 446-458. https://doi.org/10.51244/IJRSI.2026.1303000039
BibTeX
@article{Aditya2026,
title = {Artificial Intelligence Applications in Dc Solar Air Coolers: Enhancing Performance, Efficiency, and User Experience},
author = {Aditya Gupta},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {3},
pages = {446--458},
year = {2026},
doi = {10.51244/IJRSI.2026.1303000039},
publisher = {RSIS International}
}