Work

Predicting PV Module Thermomechanical Durability (TC600) from BOM Features Using a TabNet-Stacked Ensemble Approach

Year: 2025

Type: conference-paper

Source: Conference record of the IEEE Photovoltaic Specialists Conference

DOI: 10.1109/pvsc59419.2025.11132842

Authors: Ahmer A. B. Baloch, Bhaskar Parida, Omar Albadwawi, Vivian Alberts

Institution: Dubai Electricity and Water Authority

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4413823146

FWCI:

Cites: 9

Cited by:

Related to: 10