https://www.journals.elsevier.com/energy-and-ai
ISSN online: 2666-5468
Idioma: Inglés
Revista técnica: Sí
Indexado en WoS o Scopus: Sí
Latindex: No
| Año | JCR-JIF | SJR | ||
| Impacto | Cuartil | Impacto | Cuartil | |
| 2025 | 9,700 | Q1 | 2,038 | Q1 |
| 2024 | 9,600 | Q1 | 2,000 | Q1 |
| 2023 | 9,600 | Q1 | 2,160 | Q1 |
| 2022 | - | - | 1,891 | Q1 |
| 2021 | - | - | 2,536 | Q1 |
A. Polo-Molina, J. Portela, L.A. Herrero, R. Cicero González, "Modeling membrane degradation in PEM electrolyzers with Physics-Informed Neural Networks", Energy and AI, doi: 10.1016/j.egyai.2026.100930 In press: Octubre 2026.
JCR-JIF: 9,700 Q1 (2025) - SJR: 2,038 Q1 (2025) E. Insunza Díaz, C. de los Santos Jiménez, A. Muñoz, J. Portela, I. Kusano, H. Rostro-González, "Evaluating the impact of Numerical Weather Prediction variables on wind power forecasting: A case study of the Alpha Ventus offshore wind farm", Energy and AI, Vol. 24, pp. 100695, Mayo 2026. [Online: Febrero 2026] doi: 10.1016/j.egyai.2026.100695
JCR-JIF: 9,700 Q1 (2025) - SJR: 2,038 Q1 (2025) F. Heymann, R. Bessa, M. Liebensteiner, K. Parginos, J.C. Martín Hinójar, P. Dueñas, "Scarcity events analysis in adequacy studies using CN2 rule mining", Energy and AI, Vol. 8, pp. 100154, Mayo 2022. [Online: Marzo 2022] doi: 10.1016/j.egyai.2022.100154
JCR-JIF: 9,700 Q1 (2025) - SJR: 1,891 Q1 (2022); 2,038 Q1 (2025) 
