CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
Efficient buyer groups for prediction-of-use electricity tariffs
Authors
Nicholas R. Jennings
Valentin Robu
Alex Rogers
Meritxell Vinyals
Publication date
1 January 2014
Publisher
Abstract
Copyright © 2014, Association for the Advancement of Artificial Intelligence.Current electricity tariffs do not reflect the real cost that customers incur to suppliers, as units are charged at the same rate, regardless of how predictable each customers consumption is. A recent proposal to address this problem are prediction-of-use tariffs. In such tariffs, a customer is asked in advance to predict her future consumption, and is charged based both on her actual consumption and the deviation from her prediction. Prior work (Vinyals et al. 2014) studied the cost game induced by a single such tariff, and showed customers would have an incentive to minimize their risk, by joining together when buying electricity as a grand coalition. In this work we study the efficient (i.e. cost-minimizing) structure of buying groups for the more realistic setting when multiple, competing prediction-of-use tariffs are available. We propose a polynomial time algorithm to compute efficient buyer groups, and validate our approach experimentally, using a large-scale data set of domestic electricity consumers in the UK
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
Heriot Watt Pure
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pure.atira.dk:publications...
Last time updated on 13/03/2015
Southampton (e-Prints Soton)
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.soton.ac.uk:364307
Last time updated on 20/02/2015
Supporting member
Spiral - Imperial College Digital Repository
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:spiral.imperial.ac.uk:1004...
Last time updated on 17/02/2017
Heriot Watt Pure
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:pure.atira.dk:openaire_cri...
Last time updated on 28/02/2020