This package contains the Household Utility Usage Model HUUM. It is an agent based modelling system, which is optimised to represent any utility usage in a household. While models can be defined in code, it is recommended to define them in data, using the HUUM_io package. Neither is uploaded to the general Python package server, so a manual, local install is necessary.
The documentation of the concepts and the logic in this program can be found in the thesis Agent Based Modelling of city-wide Water Demand (not yet published).
Created by Sven Berendsen as part of his PhD project at Newcastle University, (C) 2023. Licenced under the terms of the Apache License 2.0.
Additional, smaller todo's are noted in each individual file. Bigger ones are:
- Professionalise Code: Currently the code is "clean prototype" level, i.e. has little in-code documentation (but very sensible function and object names). Also missing are asserts and unit tests.
- Switch to kwargs as arguments where appropiate. This most likely is best for event execution.
- Implement consistency checks before model initialisation.
- Implement all event hooks and possible effects.
- Introduce an element to use externally set time series.
- Convert the current agent -> appliance interaction into an agent -> action -> appliance interaction, enabling more flexibility in representing agent actions.
- Switch to using class-method decorators for more concise code.
- Re-implement in another language, e.g. Julia or Rust, for performance reasons.
- Parallelise to improve large model runtime.
This code is originally (C) Sven Berendsen, 2023. Published under the terms of the Apache Licence, version 2.0.