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

• 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.)