Developing and Coordinating Autonomous Agents for Efficient Electricity Markets

Andrew Perrault
When: March 7, 2018 @ 4:00pm - 5:00pm
Location: Mudd Hall (MHP) 101
Audiences: All are welcome to attend
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This lecture satisfies requirements for
CSCI 591: Research Colloquium.


Aggressive greenhouse gas reduction targets will necessitate a transformation of energy use systems, with increasing emphasis on electricity, which can be decarbonized more efficiently than other energy sources. Mr. Perrault argues that deploying consumer-representing autonomous agents can make this transformation less expensive by allowing attention-limited consumers to respond to changes in market conditions. The talk has two parts: in Part I, he develops a cooperative game theoretic model that illustrates the value of such agents in electricity markets. In Part II, he focuses on the problem of training such an agent using a new variant of preference elicitation called experiential elicitation.


Andrew Perrault is a PhD student at University of Toronto, supervised by Craig Boutilier. His research focuses on the application of AI to electricity markets and electricity use. He is the co-founder and co-lead developer at, a non-profit that crowdfunds scholarships for secondary school students in developing countries.

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