TY  - JOUR 
AU  - Mateo Romero, Héctor Felipe
AU  - Carbonó de la Rosa, Mario Eduardo
AU  - Hernández Callejo, Luis
AU  - González Rebollo, Miguel Ángel
AU  - Cardeñoso Payo, Valentín
AU  - Alonso Gómez, Víctor
AU  - Martínez Sacristán, Óscar
AU  - Gallardo Saavedra, Sara
AU  - Opsino Castro, Adalberto José
PY  - 2026
SN  - 1432-7643
UR  - https://uvadoc.uva.es/handle/10324/83754
AB  - This manuscript introduces two Adaptive Neuro-Fuzzy Inference Systems developed to predict the energy output of Photovoltaic cells. These models are trained using Electroluminescence imagery of the cells for input data along their Current–Voltage...
LA  - eng
PB  - Springer
KW  - Fuzzy logic
KW  - Photovoltaic
KW  - Electroluminescence
KW  - Machine learning
TI  - ANFIS-based output power estimation in photovoltaic cells using electroluminescence image features
DO  - 10.1007/s00500-025-11066-0
ER  -