Héctor Felipe Mateo Romero

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Profesor Ayudante Doctor

Universidad de Valladolid

Spain

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About

Héctor Felipe Mateo Romero is an Assistant Professor at Universidad de Valladolid, Spain. His research primarily focuses on photovoltaic technology, with recent publications exploring advancements in defect detection, classification of solar PV cells, and the application of artificial intelligence in photovoltaic systems. He employs innovative methodologies such as fuzzy logic, wavelet analysis, and deep learning in his work to enhance the efficiency and reliability of photovoltaic systems.

Recent Grants

Grant: Open

DESARROLLO DE TECNICAS AVANZADAS DE CARACTERIZACIÓN: HACIA UNA TECNOLOGÍA FOTOVOLTAICA TIPO N

Open Date: 2024-09-01

Close Date: 2027-08-01

Grant: Open

RES-SIAS. Renewable Energy Sources and Sustainable Systems for Integration in the Agricultural Sector

Open Date: 2024-02-01

Close Date: 2027-01-01

Grant: Close

RÍOS-SO. PROYECTO DE INVENTARIO Y PUESTA EN VALOR ENERGÉTICO, TURÍSTICO Y EDUCATIVO DE ANTIGUAS INFRAESTRUCTURAS DE MOLIENDA Y OTROS USOS VINCULADOS A LOS CURSOS FLUVIALES.

Open Date: 2022-01-01

Close Date: 2024-12-01

Grant: Close

CARACTERIZACIÓN AVANZADA DE CÉLULAS SOLARES Y MÓDULOS DE ALTA PRODUCTIVIDAD Y BAJO IMPACTO AMBIENTAL HACIA UNA ENERGÍA FOTOVOLTAICA VERDE, CIRCULAR Y SOSTENIBLE

Open Date: 2021-09-01

Close Date: 2024-12-01

Grant: Close

FLOATING PV REPORT

Open Date:

Close Date:

Articles (8)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

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2023

Year:

2023

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Universidad de Valladolid

SPAIN

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Héctor Felipe Mateo Romero

Research Interests

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About

Recent Grants

Articles (8)

Enhancing photovoltaic cell classification through mamdani fuzzy logic: a comparative study with machine learning approaches employing electroluminescence images

Passive Electroluminescence and Photoluminescence Imaging Acquisition of Photovoltaic Modules

Detection of failures in electrode-photovoltaic cell junctions through two-dimensional wavelet analysis of electroluminescence images

An adaptive neuro-fuzzy inference scheme for defect detection and classification of solar PV cells

Synthetic Dataset of Electroluminescence Images of Photovoltaic Cells by Deep Convolutional Generative Adversarial Networks

Optimized estimator of the output power of PV cells using EL images and I–V curves

Applications of Artificial Intelligence to Photovoltaic Systems: A Review

Evaluation of Artificial Intelligence-Based Models for Classifying Defective Photovoltaic Cells

Collaborators (6)

Angel Luis Zorita Lamadrid

Hugo J. Bello

Jose Ignacio Morales Aragonés

Luis Hernández Callejo

Víctor Alonso Gómez

Valentín Cardeñoso-Payo

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