Abstract
We present AgentSwitch, a prototype agent-based platform to solve the tariff selection problem for homeowners. AgentSwitch incorporates novel algorithms that work on the coarse data provided by smart meters to make predictions of hourly energy usage as well as detect (and suggest to the user) deferrable loads that could be shifted to off-peak times to maximise savings. Our demo will allow users to interact with AgentSwitch and explore test user accounts in order to understand the impact of different usage profiles and appliance loads.
Original language | English (US) |
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Pages | 1401-1402 |
Number of pages | 2 |
State | Published - 2013 |
Event | 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 - Saint Paul, MN, United States Duration: May 6 2013 → May 10 2013 |
Other
Other | 12th International Conference on Autonomous Agents and Multiagent Systems 2013, AAMAS 2013 |
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Country/Territory | United States |
City | Saint Paul, MN |
Period | 5/6/13 → 5/10/13 |
Keywords
- Electricity
- Group Buying
- Optimisation
- Provenance
- Recommender Systems
- Smart Grid
ASJC Scopus subject areas
- Artificial Intelligence