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Author Verticale, Giacomo ♦ Rottondi, Cristina ♦ Facchini, Alessandro
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Social norm ♦ Demand side management ♦ Agent-based modelling ♦ Smart grid
Abstract When energy prices change during the day, users will schedule their appliances with the aim of minimizing their bill. If the variable price component depends on the peak demand during each given hour, users will distribute their consumption more evenly during the day, resulting in lower peak consumption. The process can be automated by means of an Energy Management System that chooses the best schedule that satisfies the user's delay tolerance threshold. In turn, delay tolerance thresholds may slowly vary over time. In fact, users may be willing to change their threshold to match the threshold of their social group, especially if there is evidence that friends with a more flexible approach have paid a lower bill. We show that social interaction can increase the flexibility of users and lower the peak power, resulting in a more smooth usage of energy throughout the day.
Description Affiliation: Dept. of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano (Verticale, Giacomo) || Dalle Molle Inst. for Artificial Intelligence (IDSIA), University of Lugano (USI) - University of Applied Science and Arts of Southern Switzerland (SUPSI) (Facchini, Alessandro; Rottondi, Cristina)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-01-10
Publisher Place New York
Journal ACM SIGMETRICS Performance Evaluation Review (PERV)
Volume Number 44
Issue Number 2
Page Count 6
Starting Page 70
Ending Page 75

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Source: ACM Digital Library