第四次工业革命中的智慧城市能源趋势转型

A. Matheri, J. Ngila, C. K. Njenga, M. Belaid, N. J. V. Rensburg
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引用次数: 6

摘要

工业平台和电力数字化转型的未来在于电气化、去中心化和数字化。能够有效和可持续地管理能源生产和使用的系统和服务的技术正在变得商业化。简而言之,智慧城市可以定义为使用IC'I的解决方案(如智能传感器、认知学习和情境感知)使生活更舒适、更高效、更可持续的城市。智慧城市是一个可持续的、高效的城市中心,通过最优的资源管理为其居民提供高质量的生活。本研究探讨了智能技术和服务如何整合当地的能源生产和使用,以提供一个更可持续和高效的系统。由于城市化的快速发展,智慧城市的能源管理是一个需要解决的重要挑战。由于能源系统的复杂性及其重要作用,能源管理是城市中心最棘手的问题之一。因此,这个问题需要给予相当的重视和努力。使用预测分析、数据挖掘和建模来优化操作是评估智能解决方案的技术和政策影响以及规划从现有城市向智能城市转变的最佳方式的常用工具。这些评论展示了智慧城市规划和运营模式的能源相关工作,并将其范围划分为主要干预领域:能源生产、基础设施、能源存储、移动互联网、云技术、物联网(IoT)、自动驾驶和近自动驾驶汽车、设施和智能交通系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart City Energy Trend Transformation in the Fourth Industrial Revolution Digital Disruption
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.
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