References
- G. M. de Holanda, R. de Rezende, and M. de Souza, "Considerations on usability and artificial intelligence behind the pace of digital transformation," Brazilian Journal of Development, vol. 7, no. 5, pp. 47609-47624, 2021.
- M. J. Sousa and A. Rocha, "Digital learning: developing skills for digital transformation of organizations," Future Generation Computer Systems, vol. 91, pp. 327-334, 2019. https://doi.org/10.1016/j.future.2018.08.048
- M. Schagerl, H. Jodlbauer, and M. Brunner, "Readiness model for industry 4.0: the path to digital transformation," Productivity Management, vol. 21, no. 4, pp. 40-42, 2016.
- C. Feng, Y. Liu, and J. Zhang, "A taxonomical review on recent artificial intelligence applications to PV integration into power grids," International Journal of Electrical Power & Energy Systems, vol. 132, article no. 107176, 2021. https://doi.org/10.1016/j.ijepes.2021.107176
- S. B. Slama, "Prosumer in smart grids based on intelligent edge computing: a review on artificial intelligence scheduling techniques," Ain Shams Engineering Journal, vol. 13, no. 1, article no. 101504, 2022. https://doi.org/10.1016/j.asej.2021.05.018
- F. Qi, "Practice and thinking of plan environmental impact assessment of power transmission and transformation grid in Nanjing," Meteorological & Environmental Research, vol. 11, no. 3, pp. 86-92, 2020.
- X. Zhang, P. Chen, C. Yu, F. Li, H. T. Do, and R. Cao, "Study of a current control strategy based on multisampling for high-power grid-connected inverters with an LCL filter," IEEE Transactions on Power Electronics, vol. 32, no. 7, pp. 5023-5034, 2017.
- F. Contini, "Artificial intelligence and the transformation of humans, law and technology interactions in judicial proceedings," Law, Technology and Humans, vol. 2, no. 1, pp. 4-18. 2020. https://doi.org/10.5204/lthj.v2i1.1478
- A. Kaplan and M. Haenlein, "Digital transformation and disruption: on big data, blockchain, artificial intelligence, and other things." Business Horizons, vol. 62, no. 6, pp. 679-681, 2019. https://doi.org/10.1016/j.bushor.2019.07.001
- T. Jacobs, "Digital transformation at BP is starting to add up to billions," Journal of Petroleum Technology, vol. 71, no. 7, pp. 28-30, 2019. https://doi.org/10.2118/0719-0028-JPT
- M. Mirbabaie, S. Stieglitz, and N. R. Frick, "Artificial intelligence in disease diagnostics: a critical review and classification on the current state of research guiding future direction," Health and Technology, vol. 11, no. 4, pp. 693-731, 2021. https://doi.org/10.1007/s12553-021-00555-5
- M. M. Rahman, F. Khatun, A. Uzzaman, S. I. Sami, M. A. A. Bhuiyan, and T. S. Kiong, "A comprehensive study of artificial intelligence and machine learning approaches in confronting the coronavirus (COVID-19) pandemic," International Journal of Health Services, vol. 51, no. 4, pp. 446-461, 2021. https://doi.org/10.1177/00207314211017469
- B. Fardanesh, A. Shapiro, P. Saglimbene, R. DaSilva, G. Stefopoulos, and A. Esmaeilian, "A digital transformation at New York power authority: using innovative technologies to create a more efficient power system," IEEE Power and Energy Magazine, vol. 18, no. 2, pp. 22-30, 2020. https://doi.org/10.1109/MPE.2019.2959051
- G. Alibekova, T. Medeni, A. Panzabekova, and D. Mussayeva, "Digital transformation enablers and barriers in the economy of Kazakhstan," The Journal of Asian Finance, Economics and Business, vol. 7, no. 7, pp. 565-575, 2020. https://doi.org/10.13106/JAFEB.2020.VOL7.NO7.565
- A. Bindra, "Securing the power grid: Protecting smart grids and connected power systems from cyberattacks," IEEE Power Electronics Magazine, vol. 4, no. 3, pp. 20-27, 2017. https://doi.org/10.1109/MPEL.2017.2719201