Disaggregation of Electric Appliance's Consumption Using Collected Data by Smart Metering System

Kanae Matsui, Yoshiki Yamagata, Hiroaki Nishi

研究成果: Conference contribution

3 引用 (Scopus)

抄録

In order to enhance electricity conservation in households, detecting which electric appliances consume high electricity is effective. However, collecting every data of electric appliances needs many devices and it would be high costs. Therefore, data disaggregation from total data to each appliance leads to the reduction of cost and electricity. This paper presents how to disaggregate the consumption of electric appliances from total electricity consumption. In order to disaggregate electricity consumption of electric appliances from total energy consumption, sparse coding has been implemented. However, changes in the use of electric appliances are difficult to express in this method. Therefore, we propose a novel sparse coding method, named, "0-1 sparse coding" to disaggregate which electric appliances were used in the total consumption of electricity. In order to collected sample data for analyzing the methods, we installed smart metering systems in two households. The system collects the data of total electricity consumption and data in the main electric appliances in every 5-minutes. We evaluate two methods, 1) our proposed method, and 2) discriminative sparse coding method. From the results, our proposed method increased the accuracy about 44.8% than the previous method.

元の言語English
ホスト出版物のタイトルEnergy Procedia
出版者Elsevier Ltd
ページ2940-2945
ページ数6
75
DOI
出版物ステータスPublished - 2015
イベント7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates
継続期間: 2015 3 282015 3 31

Other

Other7th International Conference on Applied Energy, ICAE 2015
United Arab Emirates
Abu Dhabi
期間15/3/2815/3/31

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Electric appliances
Electricity
Costs
Conservation
Energy utilization

ASJC Scopus subject areas

  • Energy(all)

これを引用

Disaggregation of Electric Appliance's Consumption Using Collected Data by Smart Metering System. / Matsui, Kanae; Yamagata, Yoshiki; Nishi, Hiroaki.

Energy Procedia. 巻 75 Elsevier Ltd, 2015. p. 2940-2945.

研究成果: Conference contribution

Matsui, K, Yamagata, Y & Nishi, H 2015, Disaggregation of Electric Appliance's Consumption Using Collected Data by Smart Metering System. : Energy Procedia. 巻. 75, Elsevier Ltd, pp. 2940-2945, 7th International Conference on Applied Energy, ICAE 2015, Abu Dhabi, United Arab Emirates, 15/3/28. https://doi.org/10.1016/j.egypro.2015.07.596
Matsui, Kanae ; Yamagata, Yoshiki ; Nishi, Hiroaki. / Disaggregation of Electric Appliance's Consumption Using Collected Data by Smart Metering System. Energy Procedia. 巻 75 Elsevier Ltd, 2015. pp. 2940-2945
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abstract = "In order to enhance electricity conservation in households, detecting which electric appliances consume high electricity is effective. However, collecting every data of electric appliances needs many devices and it would be high costs. Therefore, data disaggregation from total data to each appliance leads to the reduction of cost and electricity. This paper presents how to disaggregate the consumption of electric appliances from total electricity consumption. In order to disaggregate electricity consumption of electric appliances from total energy consumption, sparse coding has been implemented. However, changes in the use of electric appliances are difficult to express in this method. Therefore, we propose a novel sparse coding method, named, {"}0-1 sparse coding{"} to disaggregate which electric appliances were used in the total consumption of electricity. In order to collected sample data for analyzing the methods, we installed smart metering systems in two households. The system collects the data of total electricity consumption and data in the main electric appliances in every 5-minutes. We evaluate two methods, 1) our proposed method, and 2) discriminative sparse coding method. From the results, our proposed method increased the accuracy about 44.8{\%} than the previous method.",
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