Work

Artificial Intelligence for Fault Detection in Photovoltaic Panels

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Compatibility, Power Electronics and Power Engineering

DOI: 10.1109/cpe-powereng63314.2025.11027226

Authors: David F. Josè, Fernando M. Janeiro, V. Fernão Pires, A. J. Pires, João F. Martins

Institutions: Universidade Nova de Lisboa, Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento, Institute for Systems Engineering and Computers, Universidade Politécnica de Setúbal, Uninova

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

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

Open Access status: closed

Funder: Instituto de Telecomunicações

OpenAlex ID: W4411337818

FWCI: 6.801

Cites: 12

Cited by: 2

Related to: 10