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.