Energy Consumption Analysis And Load Management For Smart Home

Aswathi Balachandran, Ramalakshmi, Venkatesan, M. Lakshmi, K. Jahnavi, V. Jothi
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Abstract

The goal of the proposed work is to minimize the energy consumption in a particular home or a region. The focus of energy consumption for smart home has been sensing depth on collecting as much as data as possible from each home or region. The paper presents have designed and deployed a smart system which leads each person to understand about the importance of intelligent buildings or smart home and their aim in reducing the energy consumption. The essence of this paper is all about collecting the different datasets for different home or different region as much as possible. It contains the information about different home appliances from a hair dryer to a refrigerator and their electricity usage for every second, temperature prediction, humidity and so on. The data that have collected has served as the foundation of this paper. And the datasets have described about those datasets and the tools that has used for implementing. The datasets and the tools are provided below so that it will be useful for further research in future on designing smart homes.
智能家居能耗分析与负荷管理
拟议工作的目标是将特定家庭或地区的能源消耗降至最低。智能家居的能源消耗重点一直是从每个家庭或地区收集尽可能多的数据。本文介绍了一个智能系统的设计和部署,使每个人都了解智能建筑或智能家居的重要性,以及他们在减少能源消耗方面的目标。本文的核心是尽可能多地收集不同家庭或不同地区的不同数据集。它包含了从吹风机到冰箱等不同家电的信息,以及它们每秒的用电量、温度预测、湿度等。所收集的数据是本文的基础。数据集描述了这些数据集以及用于实现的工具。下面提供了数据集和工具,以便将来对设计智能家居的进一步研究有用。
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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