  In this paper we present a methodology appropriate for establishing a
user-specific hourly-based benchmark period of energy consumption. Such values
can be used as reference for explicitly calculating energy savings. The
required equipment is limited to low cost sensors. The so-called baseline
allows for an explicit comparison of the household consumption now and then,
once appropriate adjustments are made to handle the different conditions (e.g.
temperature variation). When involving user motivation strategies, hourly based
energy savings can provide multiple advantages. However, there are two major
factors affecting the baseline construction: corrupted or missing data values
and unordinary patterns. In this paper we provide an analytical methodology to
handle such scenarios and create year-long hourly-based consumption baseline.

Signal Processing