devices that people turn to for other streams of information,
such as their smart phones.
A limiting factor in the development of more innovative
web-based residential energy management systems has been
the lack of quality energy use data, due to the fact that most
residential customers still only have watt-hour meters. Many
systems are being designed in anticipation of future increased
availability of advanced metering infrastructure (AMI)
systems that provide access to hourly or even more granular
energy use data. But, a clear expectation gap currently exists.
While large deployments are occurring, ubiquitous
availability of granular energy use data is still years away for
many households. Given this reality, the integration of direct
feedback mechanisms with appliance and other in-home
devices, further discussed below, may be even further away.
How households will use these new tools also remains to be
seen, as most households remain on flat rates where changes
in energy use during specific timeframes have a diluted value.
Many pilot programs have found that customer do change
energy usage when exposed to time-variant rates [3]. But the
number of residential households actually on such rates
continues to number in the thousands; 10,000 on critical-peak
pricing in Bakersfield, California, 23,000 on real-time pricing
in Illinois, and so on. While growth in these numbers is
expected, compared to the over 100 million households in the
United States, change will take time. Furthermore, the
experience in states with open access is that many customers
exposed to mandatory dynamic rates have elected to switch to
flat priced contracts, further complicating the debate. That
being said, GE, LG, and other manufacturers have begun to
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