RAMP
RAMP – Stochastic simulation of energy user-controlled time series.
How does RAMP help?
The RAMP software was co-developed by RLI scientists and helps with the stochastic simulation of energy user-controlled time series based on a few simple inputs (e.g. number of appliances, power and usage time within a day).
Who is the tool suitable for?
RAMP is suitable for actors who want to simulate and analyze energy demand time series, especially in situations with incomplete, uncertain data or where no data is available at all, such as unelectrified communities.
The tool aims to provide synthetic data where measured data is not available, for example when planning systems in remote areas.
How does RAMP work?
RAMP users define user types and which appliances and how many they own. RAMP then runs stochastic simulations to generate energy demand time series at the minute resolution (also possible to aggregate to hourly values).
What examples are there of its use?
How can RAMP be used?
RAMP is written in the Python programming language and is freely available as open-source software under GitHub and EUPL v. 1.2 license.
It can also be configured via a user-friendly interface (online at https://nessi.iwi.uni-hannover.de/en/ or offline with excel file inputs).
