Agent-based modeling of energy systems and international climate policy
Agent-based modeling of energy systems and international climate policy allows for more realistic analyses of energy and climate policy architectures than other commonly-used methods. By using empirically-derived representations of agent decision-making under uncertainty, the method can simulate the interactions among a large number of relevant economic (i.e., consumers and firms) and political (i.e., international negotiators) agents. The result is a model capable of detailed probabilistic analysis of the long-term effects of policy on the energy system, the overall economy, and the environment.
Faculty contact: Michael Gerst