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Managing energy tariffs with agents
Author(s) -
Alper T. Alan,
Sarvapali D. Ramchurn,
Tom Rodden,
Enrico Costanza,
Joel E. Fischer,
Nicholas R. Jennings
Publication year - 2015
Publication title -
adjunct proceedings of the 2015 acm international joint conference on pervasive and ubiquitous computing and proceedings of the 2015 acm international symposium on wearable computers
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2800835.2801626
Subject(s) - delegate , variety (cybernetics) , electricity , autonomy , tariff , computer science , order (exchange) , energy consumption , energy (signal processing) , environmental economics , consumption (sociology) , field (mathematics) , control (management) , multi agent system , risk analysis (engineering) , computer security , business , engineering , economics , artificial intelligence , finance , social science , statistics , mathematics , sociology , pure mathematics , law , political science , international trade , electrical engineering , programming language
© 2015 ACM.Interactive autonomous systems are likely to be more involved in future energy systems to assist human users. Given this, we prototyped a future scenario in which householders are assisted in switching electricity tariffs by an agent-based interactive system. The system uses real-time electricity monitoring to instantiate a scenario where participants may have to make, or delegate to their agent (in a variety ways), tariff switching decisions given uncertainty about their own consumption. We carried out a field trial with 12 households for 6 weeks in order to study the notion of autonomy. The results show nuanced ways in which monitoring system performance and taking control is balanced in everyday practice. Our field study provides promising directions for future use of smart systems that help householders manage their energy

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