A modern-day society demands resilient, reliable, and smart urban infrastructure for effective and in telligent operations and deployment. However, unexpected, high-impact, and low-probability events such as earthquakes, tsunamis, tornadoes, and hurricanes make the design of such robust infrastructure more complex. As a result of such events, a power system infrastructure can be severely affected, leading to unprecedented events, such as blackouts. Nevertheless, the integration of smart grids into the existing framework of smart cities adds to their resilience. Therefore, designing a resilient and reliable power system network is an inevitable requirement of modern smart city infras tructure. With the deployment of the Internet of Things (IoT), smart cities infrastructures have taken a transformational turn towards introducing technologies that do not only provide ease and comfort to the citizens but are also feasible in terms of sustainability and dependability. This paper presents a holistic view of a resilient and sustainable smart city architecture that utilizes IoT, big data analytics, unmanned aerial vehicles, and smart grids through intelligent integration of renew able energy resources. In addition, the impact of disasters on the power system infrastructure is investigated and different types of optimization techniques that can be used to sustain the power flow in the network during disturbances are compared and analyzed. Furthermore, a comparative review analysis of different data-driven machine learning techniques for sustainable smart cities is performed along with the discussion on open research issues and challenges.

中文翻译：

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数据驱动技术在弹性和可持续智能城市智能电网中的集成：综合回顾

现代社会需要有弹性、可靠和智能的城市基础设施，以实现有效和智能的运营和部署。然而，地震、海啸、龙卷风和飓风等意外、高影响和低概率事件使此类稳健基础设施的设计更加复杂。由于此类事件，电力系统基础设施可能受到严重影响，导致前所未有的事件，例如停电。然而，将智能电网整合到现有的智能城市框架中会增加它们的弹性。因此，设计弹性可靠的电力系统网络是现代智慧城市基础设施建设的必然要求。随着物联网 (IoT) 的部署，智慧城市基础设施已经转向引入技术，这些技术不仅为市民提供便利和舒适，而且在可持续性和可靠性方面也是可行的。本文介绍了一个弹性和可持续的智慧城市架构的整体视图，该架构通过可再生能源的智能集成利用物联网、大数据分析、无人机和智能电网。此外，研究了灾害对电力系统基础设施的影响，并比较和分析了可用于在扰动期间维持网络中潮流的不同类型的优化技术。此外，