Search by property

This page provides a simple browsing interface for finding entities described by a property and a named value. Other available search interfaces include the page property search, and the ask query builder.

List of results

• AIM-Enduse India  + (Optimization)
• AIM-Enduse Japan  + (Optimization)
• AIM-Hub Thailand  + (Optimization)
• BET  + (Optimization)
• BLUES  + (Optimization)
• C3IAM  + (Optimization)
• China TIMES  + (Optimization)
• DART  + (Optimization)
• ENV-Linkages  + (Optimization)
• EPPA  + (Optimization)
• Euro-Calliope  + (Optimization)
• GEM-E3  + (Optimization)
• GMM  + (Optimization)
• ICES  + (Optimization)
• IMACLIM-India  + (Optimization)
• IPAC-AIM technology  + (Optimization)
• IPAC-Global  + (Optimization)
• MARKAL-India  + (Optimization)
• MERGE-ETL  + (Optimization)
• MESSAGE Korea  + (Optimization)
• MESSAGE-GLOBIOM  + (Optimization)
• RICE50+  + (Optimization)
• TIAM-ECN  + (Optimization)
• TIMES-France  + (Optimization)
• WEGDYN  + (Optimization)
• WITCH  + (Optimization)

• GENeSYS-MOD  + (OptimizationLinear optimisation)
• REMIND-MAgPIE  + (OptimizationMAgPIE: cost minimization;)
• REMod  + (OptimizationSimulation-based optimization)
• WITNESS  + (OptimizationSimulation-based optimization)
• GCAM  + (Recursive dynamic solution method)
• GCAM-KSA  + (Recursive dynamic solution method)
• IMAGE  + (Simulation)
• PROMETHEUS  + (Simulation)
• E3ME-FTT  + (Simulation)
• AIM-Hub  + (Simulation)
• AIM-Hub Viet Nam  + (Simulation)
• MUSE  + (Simulation)
• AIM-Hub Indonesia  + (Simulation)
• MIGRATION  + (Simulation)
• SNOW GL HH  + (Simulation)
• MEDEAS  + (Simulation)
• AIM-Hub Korea  + (Simulation)
• IMACLIM-NLU  + (SimulationImaclim-NLU is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.)
• IMACLIM  + (SimulationImaclim-R is implemented in Scilab, and uses the fonction fsolve from a shared C++ library to solve the static equilibrium system of non-linear equations.)
• GRACE  + (SimulationRecursive dynamic solution method)
• POLES  + (SimulationRecursive simulation)
• VESPA  + (Steady state path (dynamic recursive) plus perturbation around state state (short term dynamics))
• COFFEE-TEA  + (The COFFEE model is solved through Linear Programming (LP). The TEA model is formulated as a mixed complementary problem (MCP) and is solved through Mathematical Programming System for General Equilibrium -- MPSGE within GAMS using the PATH solver.)
• IPETS  + (The economic problem is formulated as a th … The economic problem is formulated as a three-level nested problem. The solution of these three sub-problems yield the dynamic capital path (investment/consumption trade-off in each simulation year), and factor and output prices which clear all factor and goods markets. which clear all factor and goods markets.)