TY  - JOUR
AU  - Ricardo de la Rosa, Leslie
AU  - García Pérez, Lía
AU  - Santos Peñas, Matilde
AU  - Gómez, Alejandro
PY  - 2025
DO  - https://doi.org/10.1016/j.rineng.2025.107646
UR  - https://hdl.handle.net/20.500.14352/126252
T2  - Results in Engineering
AB  - The growth of wind energy generation as a renewable source in the transition to sustainable energy poses significant challenges in ensuring reliable production forecasting due to the intermittent nature of wind resources. The implementation of...
LA  - eng
M2  - 1
PB  - Elsevier
KW  - Wind energy forecasting
KW  - Renewable energy
KW  - Machine learning
KW  - SARIMAX
KW  - GBoost
KW  - LSTM
KW  - Hybrid model
TI  - Hybrid model to improve wind energy prediction considering data granularity
TY  - journal article
VL  - 28
ER  -