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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

• IPETS  + (Forward looking)

• GCAM  + (GCAM is a dynamic recursive model, meaning … GCAM is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.tations based on multi-period experiences.)
• GCAM-KSA  + (GCAM-KSA is a dynamic recursive model, mea … GCAM-KSA is a dynamic recursive model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. For long-lived investments, decision-makers may account for future profit streams, but those estimates would be based on current prices. For some parts of the model, economic agents use prior experience to form expectations based on multi-period experiences.tations based on multi-period experiences.)
• GMM  + (Global social planner with perfect foresight)
• MERGE-ETL  + (MERGE-ETL acts as a rational global social planner with perfect foresight to maximize the global welfare.)
• POLES  + (Myopic)
• IFs  + (Myopic)
• TIAM-UCL  + (Perfect Foresight (Stochastic and myopic runs are also possible))
• TIAM-ECN  + (Perfect or myopic foresight)
• IMACLIM  + (Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.)
• IMACLIM-NLU  + (Recursive dynamics: each year the equilibrium is solved (system of non-linear equations), in between two years parameters to the equilibrium evolve according to specified functions.)
• IMAGE  + (Simulation modelling framework, without foresight. However, a simplified version of the energy/climate part of the model (called FAIR) can be run prior to running the framework to obtain data for climate policy simulations.)
• ENV-Linkages  + (The ENV-Linkages model is a recursive dyna … The ENV-Linkages model is a recursive dynamic neo-classical general equilibrium model, meaning that decision-makers do not know the future when making a decision today. After it solves each period, the model then uses the resulting state of the world, including the consequences of decisions made in that period - such as resource depletion, capital stock retirements and installations, and changes to the landscape - and then moves to the next time step and performs the same exercise. time step and performs the same exercise.)
• PRIMES  + (The PRIMES model is fully dynamic and has … The PRIMES model is fully dynamic and has options regarding future</br>anticipation by agents in decision-making. Usually, PRIMES assumes perfect</br>foresight over a short time horizon for demand sectors and perfect foresight</br>over a long time horizon for supply sectors. The sub-models solve over the</br>entire projection period in each cycle of interaction between demand and</br>supply and so market equilibrium is dynamic and not static. Other options are</br>available allowing the model user to specify shorter time horizons for</br>foresight.ecify shorter time horizons for foresight.)
• REMod  + (The optimization of the transformation path assumes perfect foresight, while the underlying simulation of energy system operation is based on a 24-hour forecast with uncertainties.)