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Many previous studies that used SFA focused on measuring energy efficiency levels.
The new methods of measuring energy efficiency are more stringent, more logical and should be more help for curious consumers this winter.
In energy efficiency analyses, it is pointed out that for measuring energy efficiency, the network lifetime can be used instead of power consumption.
Measuring energy efficiency is crucial when planning energy reduction policies.
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Further, in order to encourage relevant efficiency efforts, it is essential to know how to measure energy efficiency in the building operation phase.
This chapter also covers additional topics of how to measure energy efficiency with EEMBC® ULPBench™, and debug considerations with using low-power features.
However, these tools have not yet measure energy efficiency index by involving user satisfaction from adaptive behaviors dependently, which can determine the actual energy consumption versus the planed energy consumption of the building.
Therefore, many researchers have attempted to develop and use other efficiency indexes to measure energy efficiency.
Since the SFA method has a strong analytical capability for assessing the energy efficiency score, it has been used by numerous researchers to measure energy efficiency levels.
The newly introduced metric can measure energy efficiency of both the single-cell operations and the CoMP operations, despite fundamental differences of available channel state information (CSI).
Boyd [12] analysed the energy efficiency of wet corn milling plants and argued that the advantage of using SFA to measure energy efficiency is the possibility of avoiding issues regarding the definition of energy intensity.
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