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Jorge Segarra-Tamarit
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A deep learning model for intra-day forecasting of solar irradiance using satellite-based estimations in the vicinity of a PV power plant
E Pérez, J Pérez, J Segarra-Tamarit, H Beltran
Solar Energy 218, 652-660, 2021
212021
Optimized profitability of LFP and NMC Li-ion batteries in residential PV applications
P Ayuso, H Beltran, J Segarra-Tamarit, E Pérez
Mathematics and Computers in Simulation 183, 97-115, 2021
162021
Battery size determination for photovoltaic capacity firming using deep learning irradiance forecasts
H Beltran, J Cardo-Miota, J Segarra-Tamarit, E Pérez
Journal of Energy Storage 33, 102036, 2021
152021
Deep learning-based forecasting of aggregated CSP production
J Segarra-Tamarit, E Pérez, E Moya, P Ayuso, H Beltran
Mathematics and Computers in Simulation 184, 306-318, 2021
92021
Optimized management of a residential microgrid using a solar power estimation database
J Segarra-Tamarit, E Perez, JC Alfonso-Gil, C Ariño, N Aparicio, H Beltran
2017 IEEE 26th International Symposium on Industrial Electronics (ISIE), 993-998, 2017
82017
Optimized battery sizing for merchant solar PV capacity firming in different electricity markets
J Cardo-Miota, H Beltran, P Ayuso, J Segarra-Tamarit, E Pérez
IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society …, 2019
52019
Influence of the Intraday Electricity Market Structure on the Degradation of Li‐Ion Batteries Used to Firm Photovoltaic Production
H Beltran, P Ayuso, J Cardo-Miota, J Segarra-Tamarit, N Aparicio, ...
Energy Technology, 2100943, 2022
12022
Dimensionado de sistema de almacenamiento para hibridación con FV a partir de predicciones probabilísticas de irradiancia
E Pérez, J González-Barreda, J Segarra-Tamarit, H Beltrán
XLII Jornadas de Automática, 349-356, 2021
12021
Aggregated demand analysis and forescasting methodology for the Iberian Electricity Market
J Segarra-Tamarit, E Perez, E Belenguer, J Cardo-Miota, H Beltran
2020 2nd IEEE International Conference on Industrial Electronics for …, 2020
12020
Desarrollo y evaluación de modelos basados en Deep Learning para la predicción de variables de generación del sistema eléctrico
J Segarra Tamarit
Universitat Jaume I, 2022
2022
Influence of the intraday electricity market structure on the degradation of Li-ion batteries used to firm PV production
H Beltran, P Ayuso Olmeda, J Cardo Miota, J Segarra-Tamarit, N Aparicio, ...
Wiley, 2022
2022
Predicción de variables del sistema eléctrico español para la toma de decisiones en el mercado eléctrico de futuros
J Segarra Tamarit
Universitat Jaume I, 2019
2019
Desarrollo de un sistema automático para la optimización de la producción de parques fotovoltaicos
J Segarra-Tamarit
Universitat Jaume I, 2017
2017
Predicción de la irradiancia a partir de datos de satélite mediante deep learning
J Soler, J Segarra-Tamarit, H Beltrán, C Ariño, JC Alfonso-Gil, A Attanasio, ...
Actas de las XXXVIII Jornadas de Automática, 582-588, 2017
2017
Detección automática de fallos mediante monitorización y optimización de las fechas de limpieza para instalaciones fotovoltaicas
J Segarra-Tamarit, E Pérez, H Beltrán, E Belenguer, JL Gandía
Actas de las XXXVIII Jornadas de Automática, 611-617, 2017
2017
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