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Journal articles on the topic 'Forecasting for Domestic Appliances'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Friedler, Eran, and David Butler. "Quantifying the inherent uncertainty in the quantity and quality of domestic wastewater." Water Science and Technology 33, no. 2 (1996): 65–78. http://dx.doi.org/10.2166/wst.1996.0038.

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Results from two surveys in S.E. England are used to illustrate and quantify the inherent uncertainty in the quantity and quality of domestic wastewater at the fundamental level of discharges from domestic appliances. The uncertainties in three principal areas are elucidated. Volumetric discharges are shown to vary significantly for several appliances particularly when used in “running to waste” mode. Pollutant load also varies and information is presented for a number of different appliance-pollutant combinations. The frequency of use is known to vary throughout the day, but figures are prese

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2

Gao, Bingtuan, Xiaofeng Liu, and Zhenyu Zhu. "A Bottom-Up Model for Household Load Profile Based on the Consumption Behavior of Residents." Energies 11, no. 8 (2018): 2112. http://dx.doi.org/10.3390/en11082112.

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The forecasting of the load profile of the domestic sector is an area of increased concern for the power grid as it appears in many applications, such as grid operations, demand side management, energy trading, and so forth. Accordingly, a bottom-up forecasting framework is presented in this paper based upon bottom level data about the electricity consumption of household appliances. In the proposed framework, a load profile for group households is obtained with a similar day extraction module, household behavior analysis module, and household behavior prediction module. Concretely, similar da

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3

Goswami, P., and J. Baruah. "Simulation of Daily Variation of Suspended Particulate Matter over Delhi: Relative Roles of Vehicular Emission, Dust, and Domestic Appliances." Monthly Weather Review 136, no. 9 (2008): 3597–607. http://dx.doi.org/10.1175/2008mwr2386.1.

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Abstract The massive growth in the size and the population of cities over the past few decades has led to serious deterioration in the quality of air. One of the important constituents of airborne pollutants, which is a major health hazard, is suspended particulate matter (SPM). SPM is also an important source of cloud condensation nuclei; accurate simulations of SPM with sufficiently long lead thus have many applications, from issuing health advisories to forecasting fog. One of the biggest challenges in modeling air pollution in general and SPM in particular is to identify and mathematically

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4

Acero, Jesus, J. Burdio, L. Barragan, et al. "Domestic Induction Appliances." IEEE Industry Applications Magazine 16, no. 2 (2010): 39–47. http://dx.doi.org/10.1109/mias.2009.935495.

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5

Fernandez, Viviana P. "Forecasting Home Appliances Jeles." Journal of International Consumer Marketing 12, no. 2 (2000): 39–61. http://dx.doi.org/10.1300/j046v12n02_04.

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6

HASTINGS, RICHARD, and NEVILLE STANTON. "Accidents Involving Domestic Appliances." British Journal of Learning Disabilities 22, no. 3 (1994): 119. http://dx.doi.org/10.1111/j.1468-3156.1994.tb00132.x.

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7

Nakamura, Takashi. "Recycling of Small Domestic Appliances." Material Cycles and Waste Management Research 20, no. 2 (2009): 70–76. http://dx.doi.org/10.3985/mcwmr.20.70.

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8

Bassett, Malcolm, and Anne-Helene Arild. "Hot surface temperatures of domestic appliances." Injury Control and Safety Promotion 9, no. 3 (2002): 161–67. http://dx.doi.org/10.1076/icsp.9.3.161.8712.

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9

Rajamani, H. S., and R. A. McMahon. "Induction motor drives for domestic appliances." IEEE Industry Applications Magazine 3, no. 3 (1997): 21–26. http://dx.doi.org/10.1109/2943.589885.

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10

Fuhlbrigge, A., and S. Weiss. "Domestic gas appliances and lung disease." Thorax 52, Supplement 3 (1997): S58—S62. http://dx.doi.org/10.1136/thx.52.2008.s58.

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11

Nagpal, Himanshu, Andrea Staino, and Biswajit Basu. "Application of Predictive Control in Scheduling of Domestic Appliances." Applied Sciences 10, no. 5 (2020): 1627. http://dx.doi.org/10.3390/app10051627.

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In this work, an algorithm for the scheduling of household appliances to reduce the energy cost and the peak-power consumption is proposed. The system architecture of a home energy management system (HEMS) is presented to operate the appliances. The dynamics of thermal and non-thermal appliances is represented into state-space model to formulate the scheduling task into a mixed-integer-linear-programming (MILP) optimization problem. Model predictive control (MPC) strategy is used to operate the appliances in real-time. The HEMS schedules the appliances in dynamic manner without any a priori kn

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12

Yang, Guo Wei, Zhao Zhang, and Xiao Feng Zhang. "A Research on A New Type of Intelligent Home Control System." Applied Mechanics and Materials 411-414 (September 2013): 1707–10. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1707.

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This Paper Puts Forward a New Solution in Terms of Humanized Design---the Combination of Control Method between Speech Recognition and GSM Remote Control System.People can Not only Apply Speaker-Independent Speech Recognition Technology to Control Domestic Appliances and Light System Indoors, but also use GSM Remote Control Technology to Achieve Intelligent Control of Domestic Appliances Outdoors. through a Corresponding Command which will be Processed by the LD3320 Speech Recognition, the System Delivers the Returning Identifier to the STM32 Chip, and STM32 will Control the Domestic Appliance

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13

Patil, Akshay, Tirupati Pallewad, Bajrang Thakur, and Sayali N. Mane. "Wireless Self Control System for Domestic Appliances." INTERNATIONAL JOURNAL OF ADVANCED ENGINEERING AND MANAGEMENT 2, no. 6 (2017): 131. http://dx.doi.org/10.24999/ijoaem/02060032.

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14

Bradac, Zdenek, Vaclav Kaczmarczyk, and Petr Fiedler. "Optimal Scheduling of Domestic Appliances via MILP." Energies 8, no. 1 (2014): 217–32. http://dx.doi.org/10.3390/en8010217.

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15

Chao, Kuo-Ming, Nazaraf Shah, Raymond Farmer, and Adriana Matei. "Energy Management System for Domestic Electrical Appliances." International Journal of Applied Logistics 3, no. 4 (2012): 48–60. http://dx.doi.org/10.4018/jal.2012100104.

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A variety of energy management systems are currently available for domestic domain, and many are concerned with real-time energy consumption monitoring and display of statistical and real time data of energy consumption. Although these systems play a crucial role in providing a detailed picture of energy consumption in home environment and contribute to influencing energy consumption behavior, households are required to then take appropriate measures to reduce energy consumption. Some energy management systems provide energy saving tips but they do not take into account households’ profiles an

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16

MORIMOTO, Shigeki. "Solid fuel burning domestic appliances in Europe." Journal of the Fuel Society of Japan 64, no. 10 (1985): 857–66. http://dx.doi.org/10.3775/jie.64.10_857.

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17

Tandon, G., and B. Natarajan. "Contribution of Appliances to Domestic Electricity Consumption." IFAC Proceedings Volumes 22, no. 17 (1989): 357–60. http://dx.doi.org/10.1016/s1474-6670(17)52954-7.

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18

Lei, Y. K., Q. Tang, T. Li, Y. L. Wang, W. T. Xu, and Y. Y. Deng. "Novel Switched Reluctance Machines for Domestic Appliances." IOP Conference Series: Materials Science and Engineering 486 (July 10, 2019): 012103. http://dx.doi.org/10.1088/1757-899x/486/1/012103.

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19

Kaczmarczyk, Vaclav, Petr Fiedler, Zdenek Bradac, Lesek Franek, and Jan Pasek. "Simulator for optimal scheduling of domestic appliances." IFAC-PapersOnLine 48, no. 4 (2015): 95–100. http://dx.doi.org/10.1016/j.ifacol.2015.07.014.

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20

Vercammen, M. L. S., and P. H. Heringa. "Characterising structure-borne sound from domestic appliances." Applied Acoustics 28, no. 2 (1989): 105–17. http://dx.doi.org/10.1016/0003-682x(89)90013-3.

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21

Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 3, no. 1 (2017): 71. http://dx.doi.org/10.26417/ejis.v3i1.71-74.

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Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significa

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22

Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 3, no. 1 (2017): 71. http://dx.doi.org/10.26417/ejis.v3i1.p71-74.

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Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significa

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23

Pano, Marijon. "Measurements of Standby Power Consumption of Domestic Appliances in Albania." European Journal of Interdisciplinary Studies 7, no. 1 (2017): 71. http://dx.doi.org/10.26417/ejis.v7i1.p71-74.

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Nearly all modern domestic appliances used in typical homes consume some energy when they are left on standby mode or even switched off. I investigated the variation in standby power consumption in five homes in Korça city. The typical standby energy loss for studied homes ranged from 8–115 W, with an average of 37 W. This corresponded to 3%-20% of the homes annual electricity use. This loss and the associated cost are not high enough to get noticed by the consumer. However, when such power losses of all domestic appliances are aggregated at the level of a country, the amount becomes significa

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24

Knapková, Miroslava, and Mariana Považanová. "(Un)Sustainability of the Time Devoted to Selected Housework—Evidence from Slovakia." Sustainability 13, no. 4 (2021): 2069. http://dx.doi.org/10.3390/su13042069.

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Domestic appliances play a vital role in modern households. Appliances help simplify domestic work, but individuals become dependent on them. The present paper aims to contribute to the long-standing dilemma among scholars whether domestic appliances help to shorten the time devoted to household chores or not. The paper focuses on the utilization of various domestic appliances in Slovak households and on the influence of their utilization on the time of men and women in partner households and in the single-person households devoted to routine unpaid work activities. The results of the paper ar

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25

Cerri, Graziano, Sergey A. Kovyryalov, Valter Mariani Primiani, and Paola Russo. "Rigorous Electromagnetic Analysis of Domestic Induction Heating Appliances." PIERS Online 5, no. 5 (2009): 491–95. http://dx.doi.org/10.2529/piers090319130605.

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26

Pothitou, Mary, Richard F. Hanna, and Konstantinos J. Chalvatzis. "ICT entertainment appliances’ impact on domestic electricity consumption." Renewable and Sustainable Energy Reviews 69 (March 2017): 843–53. http://dx.doi.org/10.1016/j.rser.2016.11.100.

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27

Bazzo, W., A. Cappella, and S. Talbot. "Cyclopentane Blown Foam Systems for Domestic Appliances Application." Journal of Cellular Plastics 32, no. 1 (1996): 46–61. http://dx.doi.org/10.1177/0021955x9603200104.

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28

Preece, A. W., W. Kaune, P. Grainger, S. Preece, and J. Golding. "Magnetic fields from domestic appliances in the UK." Physics in Medicine and Biology 42, no. 1 (1997): 67–76. http://dx.doi.org/10.1088/0031-9155/42/1/004.

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29

Ford, R. "Domestic water treatment appliances and the fluoride ion'." British Dental Journal 171, no. 7 (1991): 195. http://dx.doi.org/10.1038/sj.bdj.4807657.

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30

Robinson, S. N., E. H. Davies, and B. Williams. "Domestic water treatment appliances and the fluoride ion." British Dental Journal 171, no. 3 (1991): 91–93. http://dx.doi.org/10.1038/sj.bdj.4807617.

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31

Porteous, C. D. A., T. R. Sharpe, R. A. Menon, et al. "Energy and environmental appraisal of domestic laundering appliances." Building Research & Information 40, no. 6 (2012): 679–99. http://dx.doi.org/10.1080/09613218.2012.708599.

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32

Orlova, K. N., M. A. Gaidamak, and I. F. Borovikov. "Propagation of Magnetic Fields from Electrical Domestic Appliances." IOP Conference Series: Materials Science and Engineering 142 (August 2016): 012113. http://dx.doi.org/10.1088/1757-899x/142/1/012113.

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33

Rodrigues, E. M. G., R. Godina, E. Pouresmaeil, J. R. Ferreira, and J. P. S. Catalão. "Domestic appliances energy optimization with model predictive control." Energy Conversion and Management 142 (June 2017): 402–13. http://dx.doi.org/10.1016/j.enconman.2017.03.061.

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34

Ormila, K. "Implementation of Domestic Appliances Powered by Artificial Intelligence." Bioscience Biotechnology Research Communications 13, no. 13 (2020): 323–25. http://dx.doi.org/10.21786/bbrc/13.13/49.

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35

Cheng, Li, Dong Xu Han, Zhong Wei Li, and Dong Zheng. "Improve the Frequency Quality of Power System Using Decentralized Intelligent Loads." Applied Mechanics and Materials 291-294 (February 2013): 2187–92. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2187.

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Frequency is an indicator of the balance between electricity generation and consumption. Maintaining the frequency stability is the first of all for a stable operation of power system. After analyzing the traditional power system’s primary frequency control, secondary frequency control and tertiary frequency control, the electric heater, water heater, refrigerator, air conditioner and other domestic electric appliances are tried to use to improve the frequency quality as the decentralized intelligent loads based on the thought of “demand following supply”. The statistics of the overall power o

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36

Chen, Zhi Guang, Chao Kui Qin, Yang Jun Zhang, and Chun Yan Tian. "Experiment Study on Interchangeability of Multi-Source Natural Gas for Domestic Appliance." Advanced Materials Research 512-515 (May 2012): 1901–4. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.1901.

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With the growing importation of liquefied natural gas (LNG), the interchangeabilities issues of pipeline natural gas (PNG) and LNG are becoming increasingly serious in China. In this paper, some sampled domestic appliances were selected to experimentally investigate the interchangeability of multi-source natural gases including PNG and LNG in Guangdong province. Performances including heat Load, thermal efficiency, CO emission and NOx emission were examined. Through the testing result it can conclude that the heat load of domestic appliances changes consistently with Wobbe Index of gases; well

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37

Stragier, Jeroen, Laurence Hauttekeete, Lieven De Marez, and Sven Claessens. "Towards More Energy Efficient Domestic Appliances? Measuring the Perception of Households on Smart Appliances." Energy & Environment 24, no. 5 (2013): 689–700. http://dx.doi.org/10.1260/0958-305x.24.5.689.

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38

Zhang, Cai Rong, Xing Kui Zhang, and Nan Nan Yu. "Research and Design of Touch-Screen Domestic Universal Remote Controller with Self-Learning Function." Applied Mechanics and Materials 599-601 (August 2014): 1028–31. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.1028.

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This paper discusses a universal remote controller of household electrical appliances using the touch screen. All the household electrical appliances, such as televisions, air conditionings, drinking fountains, fans and lamps, use only one remote controller. It is convenient for the disabled people to use the household electrical appliances. The remote controller is based on the computer controlling technology and infrared communication technology. The touch screen, microcontroller, infrared emitter and receiver compose the remote controller. The controller could control all the household elec

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39

Ji, Yuting, Elizabeth Buechler, and Ram Rajagopal. "Data-Driven Load Modeling and Forecasting of Residential Appliances." IEEE Transactions on Smart Grid 11, no. 3 (2020): 2652–61. http://dx.doi.org/10.1109/tsg.2019.2959770.

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40

Aqilah, Naja, Sheikh Ahmad Zaki Shaikh Salim, Aya Hagishima, Nelidya Md Yusoff, and Fitri Yakub. "Time series data measurement on electricity consumption for selected domestic appliances in typical terrace house of Malaysia." Bulletin of Electrical Engineering and Informatics 8, no. 3 (2019): 1144–53. http://dx.doi.org/10.11591/eei.v8i3.1601.

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This paper describes the pattern of electricity consumption from total and selected domestic appliances at a typical terrace house in Malaysia. The measured appliances can be classified into four groups on the basis of pattern of use which are ‘standby’ (TV), ‘active’ (massage chair, charger of hand phone, laptop and power bank, washing machine, air-conditioners, iron, standing fan, shower heaters, rice cooker, toaster, microwave), ‘cold’ (refrigerator) and ‘cold and hot’ (water dispenser). The major contribution of monthly electricity consumption comes from ‘cold’ appliances that consume 118.

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41

Xie, Qing Hua, Xiang Wei Zhang, Wen Ge Lv, Si Yuan Cheng, Hao Xiang Huang, and Si Da Cai. "Research on Re-Use Reverse Logistics Network of Disused Electric Appliances Based on Election Campaign Algorithm." Applied Mechanics and Materials 397-400 (September 2013): 1121–28. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1121.

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Disused electric appliances have become new urban polluter because of the replacing of appliances households and corporates throw away. Recycling systems of disused electric appliances in a few Chinese cities have been put on the agenda. On the basis of summarizing domestic and overseas research about reverse logistics management, this paper proposes re-use reverse logistics system model of disused electric appliances and use election campaign algorithm to solve the problem. Finally, the paper provides an optimization method of reverse logistics network for electric appliances recycling system

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42

U, Harish. "IOT based Electrical Energy Monitoring in a Domestic Appliances." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (2020): 1929–32. http://dx.doi.org/10.22214/ijraset.2020.5313.

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43

Cecchinato, Luca, Maurizio Dell'Eva, Ezio Fornasieri, Massimo Marcer, Orlando Monego, and Claudio Zilio. "The effects of non-condensable gases in domestic appliances." International Journal of Refrigeration 30, no. 1 (2007): 19–27. http://dx.doi.org/10.1016/j.ijrefrig.2006.04.002.

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44

Serrano, Javier, Ignacio Lope, and Jesus Acero. "Nonplanar Overlapped Inductors Applied to Domestic Induction Heating Appliances." IEEE Transactions on Industrial Electronics 66, no. 9 (2019): 6916–24. http://dx.doi.org/10.1109/tie.2018.2880721.

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45

Glasgow, Adam, and Peter G. Higgins. "The use of domestic appliances by cognitively impaired users." International Journal of Cognitive Performance Support 1, no. 1 (2013): 40. http://dx.doi.org/10.1504/ijcps.2013.053589.

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46

Edenhofer, Ralph, K. Lucka, and H. Koehne. "PARTICULATE MATTER EMISSION FROM OIL-FIRED DOMESTIC HEATING APPLIANCES." International Journal of Energy for a Clean Environment 11, no. 1-4 (2010): 11–19. http://dx.doi.org/10.1615/interjenercleanenv.2011001457.

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47

Ioffe, V. Ya, and D. F. Ushakov. "Glass enamel coatings for electrical domestic machines and appliances." Glass and Ceramics 44, no. 3 (1987): 107–9. http://dx.doi.org/10.1007/bf00697257.

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48

Heimel, Martin, Erwin Berger, Stefan Posch, Axel Stupnik, Johann Hopfgartner, and Raimund Almbauer. "Transient cycle simulation of domestic appliances and experimental validation." International Journal of Refrigeration 69 (September 2016): 28–41. http://dx.doi.org/10.1016/j.ijrefrig.2016.06.007.

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49

Saker, D., M. Vahdati, P. J. Coker, and S. Millward. "Assessing the benefits of domestic hot fill washing appliances." Energy and Buildings 93 (April 2015): 282–94. http://dx.doi.org/10.1016/j.enbuild.2015.02.027.

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50

GURR, TED ROBERT, and MARK IRVING LICHBACH. "Forecasting Internal Conflict." Comparative Political Studies 19, no. 1 (1986): 3–38. http://dx.doi.org/10.1177/0010414086019001001.

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This article evaluates a formal theory of domestic political conflict using a forecasting approach. The theory, a mobilization of discontent model, argues that the extent of open political conflict within nations is a function of popular discontent, popular dispositions toward conflict, and the balance of organizational strengt between challengers and the regime. In order to examine the forecasting power of this argument, two competing and less elaborate models of domestic political conflict are also proposed. One, a model of the conflict process, forms linkages between the extent and intensit

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