Model that demonstrates and tests the demand response model. Input to the model is a sinusoidal consumed electrical power which has been discretized using a sampler. Because of this discretization and because of the periodicity of the input signal, the baseline prediction model will be able to predict the load exactly. The baseline prediction model also takes as an input signal the day type, and a demand response signal. Every seventh day, there is a demand response signal.
After at least one initial working day and non-working days at
which no demand response is requested, the predicted power
client.PPre exactly matches the consumed power
client.PCon.
This model has been added to the library to verify and demonstrate the correct implementation of the baseline prediction model based on a simple input scenario.
Sampler to avoid a translation warning
because Sampler.firstTrigger does not set the fixed
attribute in MSL 3.2.1.