Glossary

bottom-up model

“The bottom-up approach encompasses all models which use input data from a hierarchal level less than that of the sector as a whole. Models can account for the energy consumption of individual end-uses, individual houses, or groups of houses and are then extrapolated to represent the region or nation based on the representative weight of the modeled sample.” [Swan2009]

module

Here the term module (sometimes used interchangeably as simulator) refers to a python class that performs one or more functions and can be used independently or in combination with other modules to generate an output (e.g., occupancy or electric demand profiles).

pdf

probability density function.

simulator

(see the term module)

subgroup

It refers to a subset of the population defined on the basis of social, technical or economic data. See how demod implement subgroups: subgroup.

TPMs

Transition Probablity Matrixs. It defines the probability of a simulated component in a Markov chain of channging from on state to another. In demod, TPMs are a set of TPM that remebers how the matrices evolve with time. By convention, the i-eth TPM define the probabilities for transition from state i-1 to i.