2026-04-23T11:33:42Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/839652026-04-08T19:13:53Zcom_10324_1158com_10324_931com_10324_894col_10324_1244

Enhancing Solar Energy Research: A Database Approach for Photovoltaic Laboratories Mateo Romero, Héctor Felipe Hernández Callejo, Luis González Rebollo, Miguel Ángel Martínez Sacristán, Óscar Redondo Plaza, Alberto Gregorio Amami, Ghada Alonso Gómez, Víctor Producción Científica 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. 2026-04-08T11:41:00Z 2026-04-08T11:41:00Z 2026 2027-04-01 info:eu-repo/semantics/conferenceObject Nesmachnow, S., Hernández Callejo, L. (eds.). Smart Cities. ICSC-CITIES 2025. Communications in Computer and Information Science, vol 2742. Cham: Springer, 2026, p. 3-14 978-3-032-19018-5 https://uvadoc.uva.es/handle/10324/83965 10.1007/978-3-032-19019-2_1 eng https://link.springer.com/chapter/10.1007/978-3-032-19019-2_1 info:eu-repo/semantics/restrictedAccess © 2026 The Author(s), under exclusive license to Springer Nature Switzerland AG Springer