Big-Data Mechanisms and Energy-Policy Design

Authors

  • Ankit Pat University of Waterloo
  • Kate Larson University of Waterloo
  • Srinivasen Keshav University of Waterloo

DOI:

https://doi.org/10.1609/aaai.v30i1.9910

Keywords:

energy policy, mechanism design, utilities, preference elicitation

Abstract

A confluence of technical, economic and political forces are revolutionizing the energy sector. Policy-makers, who decide on incentives and penalties for possible courses of actions, play a critical role in determining which outcomes arise. However, designing appropriate energy policies is a complex and challenging task. Our vision is to provide tools and methodologies for policy makers so that they can leverage the power of big data to make evidence-based decisions. In this paper we present an approach we call big-data mechanism design which combines a mechanism design framework with stakeholder surveys and data to allow policy-makers to gauge the costs and benefits of potential policy decisions.We illustrate the effectiveness of this approach in a concrete application domain: the peaksaver PLUS program in Ontario, Canada.

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Published

2016-03-05

How to Cite

Pat, A., Larson, K., & Keshav, S. (2016). Big-Data Mechanisms and Energy-Policy Design. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9910

Issue

Section

Special Track: Computational Sustainability