§ Incentive
programs pay consumers to reduce their consumption relative to some level. In order to gauge their reduction, one must
estimate the counterfactual-- how much the consumer would have consumed in
absence of the event. There are several
distinct problems associated with this:
o Measuring
the counterfactual of what the consumer would have otherwise consumed requires
sophisticated statistical or economic models.
However, electric load is a fundamentally extremely difficult variable
to explain and even the best models account for only a fraction of this
variability. Given this, although load
reductions are typically communicated as static variables, it may be more accurate
to describe them in terms or ranges, or atleast static quantities with error
margins. However, this is rarely the
case.
o Setting
up baselines in this manner essentially rewards customers for having a higher
baseline. This creates incentive to game
the system, attempting to over consume electricity during the days which will
be used to calculate their baseline average.
This is exacerbated if customers are paid ahigher price for each KwH
reduced than they actually would pay for that same kwh at the retail rates they
pay while establishing their baseline.
o Heavy
support for incentive programs may crowd out dynamic pricing by overpaying
customers for reductions that do not actually occur