Work

Predicting and Optimizing the Power Performance of Dye-Sensitized Solar Cells Using Machine Learning Techniques

Year: 2024

Type: conference-paper

Source: North American Power Symposium (NAPS)

DOI: 10.1109/naps61145.2024.10741723

Authors: Deepanjali Chowdhury, Leen Al Homoud, Khandaker Akramul Haque, Katherine Davis

Institution: Texas A&M University

Language: English

Topic: TiO2 Photocatalysis and Solar Cells

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: Department of Electrical and Computer Engineering, University of Texas at Dallas

OpenAlex ID: W4404133493

FWCI: 1.186

Cites: 20

Cited by: 1

Related to: 10