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Relevant bibliographies by topics / Electric household appliances

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Journal articles

Academic literature on the topic 'Electric household appliances'

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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Journal articles on the topic "Electric household appliances"

1

Won, An Na, and Won Hwa Hong. "A Survey on Ownership of Home Appliances and Electric Energy Consumption Status According to the Number of Household Member." Applied Mechanics and Materials 672-674 (October 2014): 2165–68. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.2165.

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With increasing trend of nuclear family, modern society is also showing a gradual increase in single households. Increase in single household leads to increased use of home appliances. Accordingly, the aim of this study was to examine ownership of electric home appliances (home appliance products that use electricity) and energy consumption status and to obtain implications for energy conservation.A survey was conducted / analyzed on 2,250 households, and the following results were obtained. First, ratio of home appliance ownership and number of appliances per household member were examined. A

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2

Zhang, Ying, Bo Yin, Yanping Cong, and Zehua Du. "Multi-State Household Appliance Identification Based on Convolutional Neural Networks and Clustering." Energies 13, no. 4 (2020): 792. http://dx.doi.org/10.3390/en13040792.

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Non-intrusive load monitoring, a convenient way to discern the energy consumption of a house, has been studied extensively. However, most research works have been carried out based on a hypothetical condition that each electric appliance has only one running state. This leads to low identification accuracy for multi-state electric appliances. To deal with this problem, a method for identifying the type and state of electric appliances based on a power time series is proposed in this paper. First, to identify the type of appliance, a convolutional neural network model was constructed that incor

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3

Toropov, Alexey. "Axiological distribution of the limited electric power of the household." E3S Web of Conferences 431 (2023): 02009. http://dx.doi.org/10.1051/e3sconf/202343102009.

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The structure of household electricity consumption depends on multiple factors. The operation of household electrical networks is possible within the allocated power limit and is restricted by the installed automatic disconnection devices of the power supply network. In conditions of limited allocated electrical power, comfortable living is not possible without prioritized power redistribution. A six-level hierarchical system of electrical power distribution for households has been proposed, incorporating variable priorities. By employing prioritized disconnection principles for groups of elec

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4

Taik, Salma, and Bálint Kiss. "Household electricity usage optimization using MPC and mixed integer programming." Pollack Periodica 15, no. 1 (2020): 136–47. http://dx.doi.org/10.1556/606.2020.15.1.13.

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Abstract This paper discusses the control of the electric energy consumption in a household equipped with smart devices. The household consumption pattern is the result of a two-level optimization framework. The scheduling of the electric appliances is determined by the first optimization, receiving Time of Use tariffs proposed by the utility company. The scheduler considers the consumer's preferences on the powering on for each appliance. Secondly a model predictive controller is developed to control the electric heating system based on energy constraints resulting from the appliance scheduli

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5

Msimbe, Hamisi, Daniel Wilson, Juma Salim, Florian Rwegoshora, Dr Ramadhan Sinde, and Prof Michael kisangiri. "Development of IoT-Based System for Monitoring Electrical Energy Consumption of the Smart and Rental Houses in Tanzania." International Journal of Advances in Scientific Research and Engineering 08, no. 08 (2022): 01–10. http://dx.doi.org/10.31695/ijasre.2022.8.8.1.

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Electricity has a significant impact on human productivity when using a variety of electrical appliances in households. Appliances hooked into the electric network are now causing an increase in electric energy usage in rental homes hence the increases in the user's electricity expenses. Some tenants consume high electrical energy compared to others due to the electrical meters cannot determine the amount of usage by each tenant in the house, all tenants contribute the same universal payment which is not realistic. To offset these costs, a monitoring system for electric energy consumption base

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6

Gubernskiy, Yu D., Mikhail E. Goshin, N. V. Kalinina, and I. M. Banin. "Hygienic aspects of electromagnetic pollution of indoor environment." Hygiene and sanitation 95, no. 4 (2019): 329–35. http://dx.doi.org/10.18821/0016-9900-2016-95-4-329-335.

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There is presented an overview of studies devoted to the assessment of 50 Hz electromagnetic the radiations in the indoor environment and their impact on the human body. The classification of household appliances depending on their location has been proposed. The levels of intensity of electric and magnetic fields generated by power-frequency (50 Hz) current from a variety of household appliances have been determined. The ranking of household appliances in dependence on the intensity of electromagnetic the radiations has been made. There was performed an estimation of the intensity of electrom

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7

Ueno, Kiyoshi. "Recycling and Eco-Design of Household Electric Appliances." Waste Management Research 15, no. 3 (2004): 115–22. http://dx.doi.org/10.3985/wmr.15.115.

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8

Cao, Ruobing. "Comparative Analysis of Investment Value in Chinese Household Appliance Industry." Highlights in Business, Economics and Management 13 (May 29, 2023): 192–97. http://dx.doi.org/10.54097/hbem.v13i.8814.

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As an important part of the consumption field, household appliances play a key role in China's economic growth. After 30 years of development, China's home appliance industry has made remarkable achievements and occupies an important position in the world's home appliance industry. It has become the largest manufacturing base and consumer market of home appliances in the world, leading international counterparts in cost and quality, with obvious advantages. There is no doubt that the value of an investment in China's home appliance industry is also growing. Therefore, this paper adopts appropr

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9

Chatzigeorgiou, Ioanna-M., Christos Diou, Kyriakos C. Chatzidimitriou, and Georgios T. Andreou. "Demand Response Alert Service Based on Appliance Modeling." Energies 14, no. 10 (2021): 2953. http://dx.doi.org/10.3390/en14102953.

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Demand response has been widely developed during recent years to increase efficiency and decrease the cost in the electric power sector by shifting energy use, smoothening the load curve, and thus ensuring benefits for all participating parties. This paper introduces a Demand Response Alert Service (DRAS) that can optimize the interaction between the energy industry parties and end users by sending the minimum number of relatable alerts to satisfy the transformation of the load curve. The service creates appliance models for certain deferrable appliances based on past-usage measurements and pr

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10

Gara, Evita, and Claudio Rochas. "Simulation of the Stock of Electric Appliances and Calculation of Standby Losses for Latvia." Scientific Journal of Riga Technical University. Environmental and Climate Technologies 5, no. -1 (2010): 35–41. http://dx.doi.org/10.2478/v10145-010-0032-5.

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Simulation of the Stock of Electric Appliances and Calculation of Standby Losses for Latvia Standby losses in households are discussed in this paper. As there was no information on the total volume of standby losses in Latvia, the objective of the study was to calculate: the percentage from the household total electricity bill that goes to standby losses; what are the total costs for these losses; and how much CO2 is produced to generate the amount of electricity that is needed to cover these standby losses. All calculations were conducted for one and for all households in Latvia and the resul

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