Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries

Author:

Díaz-Longueira AntonioORCID,Michelena ÁlvaroORCID,Timiraos MíriamORCID,Zayas-Gato FranciscoORCID,Quintián HéctorORCID,Cuellar Carmen BenavidesORCID,Alaiz-Moretón HéctorORCID,Calvo-Rolle José LuisORCID,García-Ordás María TeresaORCID

Publisher

Springer Nature Switzerland

Reference21 articles.

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2. Cestnik, B.: Estimating probabilities: a crucial task in machine learning (1990)

3. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining 13–17-Aug, pp. 785–794 (2016). https://arxiv.org/abs/1603.02754v3

4. Commission, E.: European green deal (2023). https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/european-green-deal/delivering-european-green-deal_en . Accessed 28 Apr 2023

5. Coppez, G., Chowdhury, S., Chowdhury, S.: The importance of energy storage in renewable power generation: a review. In: 45th International Universities Power Engineering Conference UPEC2010, pp. 1–5. IEEE (2010)

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