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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

Impact Factor: RJIF 8.4

International Journal of Applied Research

Vol. 3, Issue 5, Part J (2017)

Methodology to predict and save standby power in network enabled devices

Author(s)
Dr. Narayana Swamy R and Ato Eyassu Dilla
Abstract
In this paper I propose bottom up methodology to predict, estimate and save standby power and CO2 emission in network enabled devices. Bottom up method is used; Bottom-up estimates are used to estimate either average standby per home or national standby power consumption [1]. This method is accurate for common appliances with a large number of measurements and with a known penetration.
Pages: 668-671  |  585 Views  19 Downloads
How to cite this article:
Dr. Narayana Swamy R, Ato Eyassu Dilla. Methodology to predict and save standby power in network enabled devices. Int J Appl Res 2017;3(5):668-671.
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International Journal of Applied Research