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		<property:Authors rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Ruben Chaer, Pablo Alfaro y Gonzalo Casaravilla</property:Authors>
		<property:Citation_references rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Chaer, R. (2008.). Simulación de sistemas de energía eléctrica. Tesis de maestría. Universidad de la Republica (Uruguay). Facultad de Ingenieria.</property:Citation_references>
		<property:Computation_time_comments rdf:datatype="http://www.w3.org/2001/XMLSchema#string">the 15 min with 8 cpus is for a optimizaion/simulation of the uruguayan system over 10 years horizon with a daily time-step</property:Computation_time_comments>
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		<property:Math_modeltype_shortdesc rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Optimal Stochastic Dynamic Programming solver for computation of the operational Policy and a Monte Carlo style simulator of the system using the computed Policy</property:Math_modeltype_shortdesc>
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		<property:Report_references rdf:datatype="http://www.w3.org/2001/XMLSchema#string">Chaer R. (2018) Handling the Intermittence of Wind and Solar Energy Resources, from Planning to Operation. Uruguay’s Success. September 2018 Conference: 36th USAEE/IAEE NORTH AMERICAN CONFERENCEAt: Washington DC USA</property:Report_references>
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		<property:Text_description rdf:datatype="http://www.w3.org/2001/XMLSchema#string">SimSEE is a platform for the Simulation of Systems of Electrical Energy. As such, it allows creating simulators tailored to a generation system, simply by adding the different types of Actors (thermal, wind, solar and hydraulic generators, demand, interconnections, etc.) to a Play-Room (simulation environment). These Actors behave in the Room according to their type.

It is 100% programmed with Object Oriented technology which makes it easy to incorporate new models (types of Actors).

To simulate the optimal operation of an Electric Power System, SimSEE solves a Dynamic Stochastic Programming problem, obtaining as a result an Optimal Operation Policy. Using this Policy, different realizations of the stochastic processes (chronicles or possible histories of the future of the system) are simulated.

Since 2010, SimSEE has become the tool commonly used in Uruguay to simulate the operation of the energy system, mainly due to the good stochastic models developed for the modeling of wind and solar energy.
These models achieve an adequate representation, both in the long term (Investment Planning) and in the short term (System Operation).</property:Text_description>
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