Representing energy technologies in top-down economic models using bottom-up information

Representing energy technologies in top-down economic models using bottom-up information

The rate and magnitude of technological change is a critical component in estimating future anthropogenic carbon emissions. We present a methodology for modeling low-carbon emitting technologies within the MIT Emissions Prediction and Policy Analysis (EPPA) model, a computable general equilibrium (CGE) model of the world economy. The methodology translates bottom-up engineering information for ...

Bottom-up, top-down

Bottom-Up Beats Top-Down

In PEPA, the calculation of the transitions enabled by a process accounts for a large part of the time for the state space exploration of the underlying Markov chain. Unlike other approaches based on recursion, we present a new technique that is iterative—it traverses the process’ binary tree from the sequential components at the leaves up to the root. Empirical results shows that this algorith...

On-Demand Creation of Focused Domain Models using Top-down and Bottom-up Information Extraction

We present a hybrid method for automated on-demand creation of conceptual models of domain-specific knowledge. Models are thereby created using a two-step process of Domain Definition and Domain Description. Domain Definition creates a conceptual base whereas in the Domain Description relationships are added to the conceptual model using a pattern-based relational-targeting Information Extracti...

Computational models: Bottom-up and top-down aspects

Computational models of visual attention have become popular over the past decade, we believe primarily for two reasons: First, models make testable predictions that can be explored by experimentalists as well as theoreticians; second, models have practical and technological applications of interest to the applied science and engineering communities. In this chapter, we take a critical look at ...