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Basopra

BASOPRA - BAttery Schedule OPtimizer for Residential Applications. Daily battery schedule optimizer (i.e. 24 h optimization framework), assuming perfect day-ahead forecast of the electricity demand load and solar PV generation in order to determine the maximum economic potential regardless of the forecast strategy used. Include the use of different applications which residential batteries can perform from a consumer perspective. Applications such as avoidance of PV curtailment, demand load-shifting and demand peak shaving are considered along with the base application, PV self-consumption. Different battery technologies and sizes can be analyzed as well as different tariff structures. Aging is treated as an exogenous parameter, calculated on daily basis and is not subject of optimization. Data with 15-minute temporal resolution are used for simulations. The model objective function have two components, the energy-based and the power-based component, as the tariff structure depends on the applications considered, a boolean parameter activate the power-based factor of the bill when is necessary.

How to download and setup Basopra

Open terminal and run command
git clone https://github.com/alefunxo/Basopra.git
git clone is used to create a copy or clone of Basopra repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Basopra https://github.com/alefunxo/Basopra/archive/master.zip

Or simply clone Basopra with SSH
[email protected]:alefunxo/Basopra.git

If you have some problems with Basopra

You may open issue on Basopra support forum (system) here: https://github.com/alefunxo/Basopra/issues