RT info:eu-repo/semantics/conferenceObject
T1 Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories
A1 Mateo Romero, Héctor Felipe
A1 Hernández Callejo, Luis
A1 González Rebollo, Miguel Ángel
A1 Martínez Sacristán, Óscar
A1 Redondo Plaza, Alberto Gregorio
A1 Amami, Ghada
A1 Alonso Gómez, Víctor
K1 Database
K1 Photovoltaic
K1 Electroluminescence
K1 Machine Learning
K1 Computer Science
K1 1203 Ciencia de Los Ordenadores
K1 3306 Ingeniería y Tecnología Eléctricas
AB This work presents a novel database architecture designed to support laboratory-based experimentation with photovoltaic (PV) cells and modules using different kinds of measurements, such as Electroluminescence (EL) Images or Current-Voltage (I-V) curves. The database is implemented in MySQL following established design principles. A web-based application is presented for efficient data insertion and retrieval. The initial population includes over 800 EL images and I–V curves of PV cells, and more than 1100 records of PV modules from diverse installations. This database provides a foundational tool for advancing automated diagnostics, performance analysis, and the integration of Artificial Intelligence in PV research environments. Future work will focus on enhancing the system’s scalability, interoperability, and support for real-time data ingestion and user management.
PB Springer
SN 978-3-032-19018-5
YR 2026
FD 2026
LK https://uvadoc.uva.es/handle/10324/83965
UL https://uvadoc.uva.es/handle/10324/83965
LA eng
NO Nesmachnow, S., Hernández Callejo, L. (eds.). Smart Cities. ICSC-CITIES 2025. Communications in Computer and Information Science, vol 2742. Cham: Springer, 2026, p. 3-14
NO Producción Científica
DS UVaDOC
RD 09-abr-2026