Commit 5b68dbe5 authored by Erkka Rinne's avatar Erkka Rinne
Browse files

Added reference to the publication

Also removed some non-existent features from the description
parent 25758393
...@@ -26,12 +26,11 @@ Created by: ...@@ -26,12 +26,11 @@ Created by:
Ran Li Ran Li
Ciara O'Dwyer Ciara O'Dwyer
- Based on Stochastic Model Predictive Control method [1]. This is a GAMS implementation of the Backbone energy system modelling framework
- Enables multiple different models (m) to be implemented by changing [1]. Features include:
the temporal structure of the model. (MULTI-MODEL RUNS TO BE IMPLEMENTED) - Based on Stochastic Model Predictive Control method [2].
- Time steps (t) can vary in length. - Time steps (t) can vary in length.
- Short term forecast stochasticity (f) and longer term statistical uncertainty (s). - Short term forecast stochasticity (f) and longer term statistical uncertainty (s).
- Can handle ramp based dispatch in addition to energy blocks. (TO BE IMPLEMENTED)
GAMS command line arguments GAMS command line arguments
...@@ -63,7 +62,10 @@ GAMS command line arguments ...@@ -63,7 +62,10 @@ GAMS command line arguments
References References
---------- ----------
[1] K. Nolde, M. Uhr, and M. Morari, Medium term scheduling of a hydro-thermal [1] N. Helist et al., Backbone---An Adaptable Energy Systems Modelling Framework,
Energies, vol. 12, no. 17, p. 3388, Sep. 2019. Available at:
https://dx.doi.org/10.3390/en12173388.
[2] K. Nolde, M. Uhr, and M. Morari, Medium term scheduling of a hydro-thermal
system using stochastic model predictive control, Automatica, vol. 44, system using stochastic model predictive control, Automatica, vol. 44,
no. 6, pp. 15851594, Jun. 2008. no. 6, pp. 15851594, Jun. 2008.
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