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Pages using the property "Math modeltype shortdesc"
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D | |
DIETER + | Linear cost minimization problem. Decision variables include investment and dispatch of generation, storage, DSM and different sector coupling options including vehicle-grid interactions in both wholesale and balancing markets. + |
Demod + | First order and semi- Markov-chain Monte Carlo simulation. + |
Dispa-SET + | From the same dataset, the model can be expressed as a MILP or LP problem + |
DynPP + | physical-equation-based + |
E | |
ELTRAMOD + | Linear optimization model. Decision variables include investment and dispatch of generation, storage, DSM and different sector coupling options including both wholesale and balancing markets. + |
EMMA + | Linear program + |
EOLES elec + | Simultaneous optimization of dispatch and investment (linear programming), solved in CPLEX solver of GAMS + |
EOLES elecRES + | Simultaneous optimization of dispatch and investment (linar programming), solved in CPLEX solver of GAMS + |
ESO-X + | MILP + |
Energy Policy Simulator + | Annual forward simulating model with some investment optimization and full accounting of policy interactions. + |
Energy Transition Model + | The ETM is based on an energy graph where nodes can convert one type of energy into another. + |
EnergyRt + | linear, cost-minimizing, partial equilibrium + |
EnergyScope + | Linear programming (43 equations fully documented). + |
F | |
FlexiGIS + | Modelling and optimisation mathematical model + |
G | |
GRIMSEL-FLEX + | Quadratic dipatch sector-coupling model + |
Genesys + | optimisation of system combination with evolutionary strategy
simulation of operation with hierarchical management strategy and linear load balancing between regions (network simplex) + |
GridCal + | Object oriented structures -> intermediate objects holding arrays -> Numerical modules + |
I | |
IRENA FlexTool + | Typically linear cost minimization, but unit online decisions can be mixed-integer linear (and effectively investment decisions too). + |
L | |
Lemlab + | Agents: intertemporal convex optimization
Markets: (iterative) double-sided auctions, p2p clearing
Forecasting: naive, deterministic forecasting, neural networks + |
M | |
MEDEAS + | System dynamics. Top-down + |
MOCES + | HDAE (Hybrid Differential Equations) combined with an agent-based approach. + |
MicroGridsPy + | The model is based on two-stage stochastic optimisation and LP or MILP mathematical formulation + |
MultiMod + | Generalized Nash Equilibrium (GNE) model formulated as a Mixed Complementarity Model (MCP) + |
N | |
NEMO + | Optimisations are carried out using a single-objective evaluation function (with penalties). The search space (of generator capacities) is searched using the CMA-ES algorithm. + |
NEMO (SEI) + | Constrained cost optimization with perfect foresight + |
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