Academic literature on the topic 'Forecasting for Domestic Appliances'

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Journal articles on the topic "Forecasting for Domestic Appliances"

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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