https://www.journals.elsevier.com/energy-and-ai
ISSN online: 2666-5468
Language: Inglés
Technical journal: Sí
Indexed in WoS or Scopus: Sí
Latindex: No
| Year | JCR | SJR | ||
| Impact | Quartile | Impact | Quartile | |
| 2023 | 9,600 | Q1 | 2,160 | Q1 |
| 2022 | - | - | 1,891 | Q1 |
| 2021 | - | - | 2,536 | Q1 |
Heymann, F., Bessa, R., Liebensteiner, M., Parginos, K., Martín Hinójar, J.C., Dueñas, P., Scarcity events analysis in adequacy studies using CN2 rule mining. Energy and AI. Vol. 8, pp. 100154-1 - 100154-8, May 2022. [Online: March 2022] 
JCR: 9,600 Q1 (2023) - SJR: 1,891 Q1 (2022); 2,160 Q1 (2023) 
