Multiple-Profile Prediction-of-Use Games

Prediction-of-use (POU) games
(Vinyals et al., 2017) address the mismatch between
energy supplier costs and the incentives imposed on consumers by fixed-rate
electricity tariffs. However, the framework does not address
how consumers should coordinate to maximize social welfare. To address this, we
develop MPOU games, an extension of POU games in which
agents report multiple acceptable electricity use profiles.
We show that MPOU games share many attractive properties with
POU games attractive (e.g., convexity).
Despite this, MPOU games introduce new incentive issues that prevent the
consequences of convexity from being exploited directly, a problem we analyze and
resolve. We validate our approach with experimental results using utility
models learned from real electricity use data.

Note: An extended version of this paper appears as Chapter 17 of
Autonomous Agents and Multiagent Systems:
AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, Revised Selected Papers, pp.275-295, Springer Lecture Notes in AI, 2017.

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