This chapter sets out the design of a scenario framework for the CSIRO Future Grid Cluster’s Project 3. It sets out how the various influences, or driving forces, are separated into four categorised. These being: Policy, States of the World, Sensitivities, and Linkages. The first two, policy,...

This report provides detail on the modelling and scenario frameworks for the economic analysis of the Future Grid. These frameworks and modelling platforms have been constructed to support the Future Grid Cluster in examining policy and market issues which will affect the electricity and natural...

This final Future Grid Cluster Project 3 report provides the deployment of key modelling results and the identification of strategic priorities for stakeholders. The purpose of the University of Queensland’s project has been to create “Economic and Investment Models for the Future Grid”...

The synthetic control method (SCM) is a major innovation in the estimation of causal effects of policy interventions and programs in a comparative case study setting. In this paper, we demonstrate that the data-driven approach to SCM requires solving a bilevel optimization problem. We show how...

Synthetic control method (SCM) identifies causal treatment effects by constructing a counterfactual treatment unit as a convex combination of donors in the control group, such that the weights of donors and predictors are jointly optimized during the pre-treatment period. This paper demonstrates...

Synthetic control method (SCM) identifies causal treatment effects by constructing a counterfactual treatment unit as a convex combination of donors in the control group, such that the weights of donors and predictors are jointly optimized during the pre-treatment period. This paper demonstrates...