Smart Outlet: Smart Electrical Outlet With Device Identification Using  NFC

The residential electricity consumption tends to expand further and, consequently, stimulates the development of technological tools that allow to establish greater control of energy consumption. Embedded technology systems play an important role in the efficiency of a smart home by providing to users ways to optimize environment management. The implementation of technologies in the residential environment offer to residents a better quality of life and reduce expenses. Therefore, this paper proposes the development of smart electrical outlets able to identify the apparatus connected to them and make available to the user the detailed consumption of each device that was used through a database.

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The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea

Scientific Data ◽

10.1038/s41597-019-0212-5 ◽

2019 ◽

Vol 6 (1) ◽

Cited By ~ 5

Author(s):

Changho Shin ◽

Eunjung Lee ◽

Jeongyun Han ◽

Jaeryun Yim ◽

Wonjong Rhee ◽

...

Keyword(s):

Energy Consumption ◽

Sampling Rate ◽

Electricity Consumption ◽

Consumption Pattern ◽

Additional Information ◽

Consumption Data ◽

Energy Disaggregation ◽

Residential Electricity ◽

Residential Electricity Consumption

Abstract AMI has been gradually replacing conventional meters because newer models can acquire more informative energy consumption data. The additional information has enabled significant advances in many fields, including energy disaggregation, energy consumption pattern analysis and prediction, demand response, and user segmentation. However, the quality of AMI data varies significantly across publicly available datasets, and low sampling rates and numbers of houses monitored seriously limit practical analyses. To address these challenges, we herein present the ENERTALK dataset, which contains both aggregate and per-appliance measurements sampled at 15 Hz from 22 houses. Among the publicly available datasets with both aggregate and per-appliance measurements, 15 Hz was the highest sampling rate. The number of houses (22) was the second-largest where the largest one had a sampling rate of 1 Hz. The ENERTALK dataset is also the first Korean open dataset on residential electricity consumption.

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Resposta à Demanda na Energia Elétrica Residencial por Controle Direto das Cargas

10.5753/eri-mt.2019.8622 ◽

2019 ◽

Author(s):

Thamires Martins ◽

Mirlane Silva ◽

Fabiano De Padua

Keyword(s):

Quality Of Life ◽

Low Cost ◽

Electricity Consumption ◽

Demand Side ◽

Direct Control ◽

Consumption Values ◽

Residential Electricity ◽

Residential Electricity Consumption ◽

Residential Consumption

This paper proposes a demand side management system of residential electricity consumption through direct control by the utility using low cost devices. Through three levels of need (common, worrying and urgent) the controllable loads will be turned off in a list from lowest to highest priority. The expected result is a reduction in peak residential consumption values without loss of quality of life, as well as a partial shutdown of residential consumption.

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Exergy and Economic Analysis of Energy Consumption in the Residential Sector of the Qassim Region in the Kingdom of Saudi Arabia

Sustainability ◽

10.3390/su12072606 ◽

2020 ◽

Vol 12 (7) ◽

pp. 2606 ◽

Cited By ~ 2

Author(s):

Radwan A. Almasri ◽

A. F. Almarshoud ◽

Hanafy M. Omar ◽

Khaled Khodary Esmaeil ◽

Mohammed Alshitawi

Keyword(s):

Saudi Arabia ◽

Energy Consumption ◽

Electric Energy ◽

Electricity Consumption ◽

Kingdom Of Saudi Arabia ◽

Residential Sector ◽

Water Heaters ◽

Efficiency Measures ◽

Residential Electricity ◽

Residential Electricity Consumption

The Kingdom of Saudi Arabia (KSA) is considered one of the countries with the highest consumption of electric energy per capita. Moreover, during the period of 2007–2017, the consumption rate increased from 6.9 MWh to 9.6 MWh. On the other hand, the share of residential electricity consumption in the KSA constitutes the biggest portion of the total electric consumption, which was about 48% in 2017. The objectives of this work were to analyze the exergy and assess the economic and environmental impacts of energy consumption in the residential sector of the Qassim region to determine potential areas for energy rationalization. The consumption patterns of 100 surveyed dwellings were analyzed to establish energy consumption indicators and conduct exergy analysis. The performances of different consuming domestic items were also examined, and energy efficiency measures are proposed. The average yearly consumption per dwelling was determined, and the total energy and exergy efficiencies are 145% and 11.38%, respectively. The average shares of lighting, domestic appliances, water heaters, and air conditioning from the total yearly energy consumption were determined.

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CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

Journal of ISMAC - June 2019 ◽

10.36548/jismac.2019.2.004 ◽

2019 ◽

Vol 01 (02) ◽

pp. 31-39 ◽

Cited By ~ 18

Author(s):

Duraipandian M. ◽

Vinothkanna R.

Keyword(s):

Energy Consumption ◽

Internet Of Things ◽

Smart Home ◽

Electricity Consumption ◽

Considerable Improvement ◽

The Internet ◽

The Internet Of Things ◽

At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

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