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Smart City Energy Trend Transformation in the Fourth Industrial Revolution Digital Disruption

机译:第四次工业革命数字化颠覆中的智慧城市能源趋势转型

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The future of digital transformation of industrial platform and electricity lies on the electrification, decentralization and digitalization. Technologies are becoming commercially available to systems and services that can enable efficient and sustainable management of energy production and use. In short, smart cities can be defined as a city that uses IC'I's solutions such as smart sensors, cognitive learning, and context awareness to make life more comfortable, more efficient and more sustainable. A smart city is a sustainable and efficient urban center providing its inhabitants with a high quality of life through optimal management resources. This study examines how intelligent technologies and services can integrate local energy production and use to provide a more sustainable and efficient system. Due to rapid urbanization, energy management in smart cities is an essential challenge to tackle. Due to the complexity of the energy systems and their vital role, energy management is one of the most demanding issues within urban centers. Therefore, this problem needs to be devoted to considerable attention and effort. Optimized operations using predictive analytics, data mining and modeling are the main tools commonly used to evaluate the technological and policy impacts of smart solutions, as well as to plan the best ways to move from current to smarter cities. The reviews show energy-related work on smart city planning and operating models by classifying their scope into main areas of intervention: energy generation, infrastructure, energy storage, mobile internet, cloud technology, internet of things (IoT), autonomous and near autonomous vehicles, facilities, and intelligent transport system.
机译:工业平台和电力的数字化转型的未来取决于电气化,分散化和数字化。技术已可以用于系统和服务,从而可以对能源生产和使用进行有效和可持续的管理。简而言之,可以将智慧城市定义为使用IC'I解决方案(例如智能传感器,认知学习和情境感知)使生活更舒适,更高效和更可持续的城市。智慧城市是可持续发展和高效的城市中心,通过最佳管理资源为居民提供高质量的生活。这项研究探讨了智能技术和服务如何整合本地能源生产和使用,以提供一个更加可持续和高效的系统。由于快速的城市化,智慧城市中的能源管理是必须解决的重要挑战。由于能源系统的复杂性及其至关重要的作用,能源管理是城市中心内最苛刻的问题之一。因此,这个问题需要投入大量的精力和精力。使用预测分析,数据挖掘和建模进行的优化运营是通常用于评估智能解决方案的技术和政策影响以及规划从当前城市向智能城市过渡的最佳方法的主要工具。审查通过将其范围划分为主要干预领域来显示有关智能城市规划和运营模式的能源相关工作:能源发电,基础设施,能源存储,移动互联网,云技术,物联网(IoT),自动驾驶和近乎自动驾驶的车辆,设施和智能交通系统。

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