A System Design for Automated Tailoring of Behavior Change Recommendations Using Time-Series Clustering of Energy Consumption Data

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

In this paper we describe our approach to address the challenges of tailoring and personalizing behavior change recommendations based on energy consumption data collected through smart meters and energy monitoring tech-nologies. The approach uses time-series clustering techniques with dynamic time warping to group daily energy consumption curves into similar clusters, and then provides personalized recommendations for shifting energy behavior to each in-dividual based on their predicted consumption pattern, the day-ahead energy prices and the resulting savings opportunities. The paper presents the methodol-ogy and discusses the suitability of this approach for improving traditional energy feedback and demand response interventions, and provides an outlook on the possibilities of artificial intelligence methods to further improve the concept.
Original languageEnglish
Title of host publicationPersuasive 2023 Adjunct Proceedings
Subtitle of host publication18th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2023
Number of pages10
Volume3474
Publication statusPublished - 4 Sept 2023
Event1st Persuasive AI Workshop: In conjunction with the 18th International Conference on Persuasive Technology 2023 (PAI 2023): In conjunction with the 18th International Conference on Persuasive Technology 2023 - Eindhoven, Netherlands
Duration: 19 Apr 202319 Apr 2023

Publication series

NameCEUR Workshop Proceedings
Volume3474
ISSN (Electronic)1613-0073

Workshop

Workshop1st Persuasive AI Workshop: In conjunction with the 18th International Conference on Persuasive Technology 2023 (PAI 2023)
Abbreviated titlePAI 2023
Country/TerritoryNetherlands
CityEindhoven
Period19/04/2319/04/23

Research Field

  • Former Research Field - Capturing Experience

Keywords

  • tailored energy feedback
  • time-series clustering
  • emand response recommendations

Fingerprint

Dive into the research topics of 'A System Design for Automated Tailoring of Behavior Change Recommendations Using Time-Series Clustering of Energy Consumption Data'. Together they form a unique fingerprint.

Cite this