Big Data Analytics for Electric Vehicle Integration in Green Smart Cities
Big Data Analytics for Electric Vehicle Integration in Green Smart Cities
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DOI：
10.1109/mcom.2017.1700133
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发表时间：
2017-11-01
影响因子：
11.2
通讯作者：
Erol-Kantarci, Melike
中科院分区：
文献类型：
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作者：
Li, Boyang;Kisacikoglu, Mithat C.;Erol-Kantarci, Melike
由设备、车辆、建筑物、电网和许多其他连接的事物产生的大量数据，加上数据传输速率的增加，构成了大数据挑战。在与物联网相关的许多领域中，智能电网和电动汽车既作为生产者又作为消费者（即，大数据（Big Data）电动汽车通过减少交通部门的排放，可以显著帮助智慧城市变得更加绿色，并在绿色智慧城市中发挥重要作用。在本文中，我们首先调查了用于处理智能电网和电动汽车大数据的数据分析技术。电动汽车产生的数据来自不同的来源，从传感器到行程记录。一旦使用大数据技术分析了这些大量数据，它们就可以用于制定充电站选址政策，开发智能充电算法，解决能源效率问题，评估配电系统处理额外充电负载的能力，以及最终确定电动汽车提供的服务的市场价值（即，车辆到电网的机会）。本文全面概述了电动汽车与绿色智慧城市集成的数据分析前景。它是未来数据分析需求和电动汽车集成到智能城市的解决方案的路线图。
The huge amount of data generated by devices, vehicles, buildings, the power grid, and many other connected things, coupled with increased rates of data transmission, constitute the big data challenge. Among many areas associated with the Internet of Things, smart grid and electric vehilces have their share of this challenge by being both producers and consumers (ie., prosumers) of big data. Electric vehicls can significantly help smart cities to become greener by reducing emissions of the transportation sector and play an important role in green smart cities. In this article, we first survey the data analytics techniques used for handling the big data of smart grid and electric vehicles. The data generated by electric vehicles come from sources that vary from sensors to trip logs. Once this vast amount of data are analyzed using big data techniques, they can be used to develop policies for siting charging stations, developing smart charging algorithms, solving energy efficiency issues, evaluating the capacity of power distribution systems to handle extra charging loads, and finally, determining the market value for the services provided by electric vehicles (i.e., vehicle-to-grid opportunities). This article provides a comprehensive overview of the data analytics landscape on the electric vehicle integration to green smart cities. It serves as a roadmap to the future data analytics needs and solutions for electric vehicle integration to smart cities.