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

2019 ◽  
Vol 6 (1) ◽  
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.

scholarly journals Smart Outlet: Smart Electrical Outlet With Device Identification Using NFC

2020 ◽  
Vol 2 (4) ◽  
pp. 21
Author(s):  
Sergio Henrique Monte Santo Andrade ◽  
João M. S. Alves ◽  
Johan S. L. Barbosa ◽  
Rafaela R. Souza
Keyword(s):  
Quality Of Life ◽  
Energy Consumption ◽  
Smart Home ◽  
Electricity Consumption ◽  
Environment Management ◽  
Device Identification ◽  
Technological Tools ◽  
Residential Electricity ◽  
Residential Electricity Consumption

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.

scholarly journals Electricity consumption of Singaporean households reveals proactive community response to COVID-19 progression

2021 ◽  
Vol 118 (34) ◽  
pp. e2026596118
Author(s):  
Gururaghav Raman ◽  
Jimmy Chih-Hsien Peng
Keyword(s):  
Influencing Factor ◽  
Electricity Consumption ◽  
Community Response ◽  
Energy Meter ◽  
Consumption Data ◽  
Government Mandates ◽  
Residential Electricity ◽  
Residential Electricity Consumption ◽  
Positive Correlations ◽  
City State

Understanding how populations’ daily behaviors change during the COVID-19 pandemic is critical to evaluating and adapting public health interventions. Here, we use residential electricity-consumption data to unravel behavioral changes within peoples’ homes in this period. Based on smart energy-meter data from 10,246 households in Singapore, we find strong positive correlations between the progression of the pandemic in the city-state and the residential electricity consumption. In particular, we find that the daily new COVID-19 cases constitute the most dominant influencing factor on the electricity demand in the early stages of the pandemic, before a lockdown. However, this influence wanes once the lockdown is implemented, signifying that residents have settled into their new lifestyles under lockdown. These observations point to a proactive response from Singaporean residents—who increasingly stayed in or performed more activities at home during the evenings, despite there being no government mandates—a finding that surprisingly extends across all demographics. Overall, our study enables policymakers to close the loop by utilizing residential electricity usage as a measure of community response during unprecedented and disruptive events, such as a pandemic.

scholarly journals Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa

2020 ◽  
Vol 32 (2) ◽  
Author(s):  
Wiebke Toussaint ◽  
Deshendran Moodley
Keyword(s):  
South Africa ◽  
Domain Knowledge ◽  
Expert Knowledge ◽  
External Validation ◽  
Electricity Consumption ◽  
Consumption Data ◽  
Residential Electricity ◽  
Energy Domain ◽  
Term Energy ◽  
Residential Electricity Consumption

Clustering is frequently used in the energy domain to identify dominant electricity consumption patterns of households, which can be used to construct customer archetypes for long term energy planning. Selecting a useful set of clusters however requires extensive experimentation and domain knowledge. While internal clustering validation measures are well established in the electricity domain, they are limited for selecting useful clusters. Based on an application case study in South Africa, we present an approach for formalising implicit expert knowledge as external evaluation measures to create customer archetypes that capture variability in residential electricity consumption behaviour. By combining internal and external validation measures in a structured manner, we were able to evaluate clustering structures based on the utility they present for our application. We validate the selected clusters in a use case where we successfully reconstruct customer archetypes previously developed by experts. Our approach shows promise for transparent and repeatable cluster ranking and selection by data scientists, even if they have limited domain knowledge.

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

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.

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

2020 ◽  
Vol 12 (7) ◽  
pp. 2606 ◽  
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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