K. M. Park, J. H, Kim. J. Y. Park, and S. B. Bang, “A Study on the Fire Risk of ESS through Fire Status and Field Investigation,” Fire Science and Engineering, vol. 32, no. 6, pp. 91-99, 2018.DOI:10.7731/KIFSE.2018.32.6.091

Han, X., Lu, L., Zheng, Y., Feng, X., Li, Z., Li, J. and Ouyang, M. “A review on the key issues of the lithium ion battery degradation among the whole life cycle,” ETransportation, vol. 1, 100005, 2019.DOI:10.1016/j.etran.2019.100005

Edge, J. S., O’Kane, S., Prosser, R., Kirkaldy, N. D., Patel, A. N., Hales, A., ... and Offer, G. J. “Lithium ion battery degradation: what you need to know,” Physical Chemistry Chemical Physics, vol. 23(14), pp. 8200-8221, 2021.DOI:10.1039/D1CP00359C

Wan, X., Wang, W., Liu, J. and Tong, T. “Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range,” BMC medical research methodology, vol. 14, pp. 1-13, 2014.DOI:10.1186/1471-2288-14-135

Vinutha, H. P., Poornima, B. and Sagar, B. M. “Detection of outliers using interquartile range technique from intrusion dataset,” In Information and decision sciences: Proceedings of the 6th international conference on ficta, Springer Singapore, pp. 511-518, 2018.DOI:10.1007/978-981-10-7563-6_53

LeCun, Y., Bengio, Y. & Hinton, G. “Deep leaning.” Nature, 521 pp. 436-444, 2015.DOI:10.1038/nature14539

Pengzhi Li, Yan Pei, Jianqiang Li, “A comprehensive survey on design and application of autoencoder in deep learning,” Applied Soft Computing, vol. 138, 2023.DOI:10.1016/j.asoc.2023.110176