Enhancement of Electrical Energy Efficiency by ‘Internet of Things’

Syeda Gauhar Fatima, Syeda Kausar Fatima, D. Sheela, Naseer Ahmed Khan, Syed Adil
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Abstract

This paper goals at studying the place and possible contribution of “Internet of Things” (IoT) in the context of the EU’s ambitious climate and energy targets for 2020.

Using qualitative procedure, we are mainly concentrating on Demand Side Management (DSM) as an effective method in balancing the load of Electrical Distribution Networks.

The role of IoT in DSM is to enable and enhance electrical energy peak demand reduction and its maximum uniform time-distribution achieved through society’s eco-education.

Using computational tools such as Data Mining and Recommender System we can achieve results at the level of electrical energy distribution network reflected in peak reduction and its uniform time distribution.
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利用“物联网”提高电能效率
本文旨在研究“物联网”(IoT)在欧盟2020年雄心勃勃的气候和能源目标中的地位和可能的贡献。本文采用定性方法,重点研究了需求侧管理作为配电网负荷平衡的有效方法。物联网在DSM中的作用是通过社会生态教育实现和增强电能峰值需求的减少,并实现最大的均匀时间分配。利用数据挖掘和推荐系统等计算工具,可以在电能分配网络的层面上实现降峰和时间均匀分布的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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