  In smart electricity grids, high time granularity (HTG) power consumption
data can be decomposed into individual appliance load signatures via
Nonintrusive Appliance Load Monitoring techniques to expose appliance usage
profiles. Various methods ranging from load shaping to noise addition and data
aggregation have been proposed to mitigate this problem. However, with the
growing scarcity of natural resources, utilities other than electricity (such
as water and natural gas) have also begun to be subject to HTG metering, which
creates privacy issues similar to that of electricity. Therefore, employing
privacy protection countermeasures for only electricity usage is ineffective
for appliances that utilize additional/other metered resources. As such,
existing privacy countermeasures and metrics need to be reevaluated to address
not only electricity, but also any other resource that is metered. Furthermore,
a holistic privacy protection approach for all metered resources must be
adopted as the information leak from any of the resources has a potential to
render the privacy preserving countermeasures for all the other resources
futile. This paper introduces the privacy preservation problem for multiple HTG
metered resources and explores potential solutions for its mitigation.
