loading
Papers

Research.Publish.Connect.

Paper

“I Want to ... Change”: Micro-moment based Recommendations can Change Users’ Energy Habits

Topics: Case Studies, Business Models and Innovative Applications for Smart(er) Cities; Optimization Techniques for Efficient Energy Consumption; Smart Homes (Domotics); Smart Sensor-Based Networks and Applications; User-Centred and Participatory Design of Services and Systems for Smart Cities

Authors: Christos Sardianos 1 ; Iraklis Varlamis 1 ; George Dimitrakopoulos 1 ; Dimosthenis Anagnostopoulos 1 ; Abdullah Alsalemi 2 ; Faycal Bensaali 2 and Abbes Amira 3

Affiliations: 1 Department of Informatics and Telematics, Harokopio University of Athens, Athens and Greece ; 2 Department of Electrical Engineering, Qatar University, Doha and Qatar ; 3 Department of Computer Science and Engineering, Qatar University, Doha and Qatar

ISBN: 978-989-758-373-5

Keyword(s): Recommender Systems, Energy Saving Recommendations, Micro-moments, Energy Habits.

Abstract: Since electricity consumption of households in developing countries is dramatically increasing every year, it is now more prudent than ever to utilize technology-based solutions that assist energy end-users to improve energy efficiency without affecting quality of life. User behavior is the most important factor that influences household energy consumption and recommender systems can be the technology enabler for shaping the users’ behavior towards energy efficiency. The current literature mostly focuses on energy usage monitoring and home automation and fails to engage and motivate users, who are not as committed and self-motivated. In this work, we present a context-aware recommender system that analyses user activities and understands their habits. Based on the output of this analysis, the system synchronizes with the user activities and presents personalized energy efficiency recommendations at the right moment and place. The recommendation algorithm considers user preferences, en ergy goals, and availability in order to maximize the acceptance of a recommended action and increase the efficiency of the recommender system. The results from the evaluation on a publicly available dataset comprising energy consumption data from multiple devices shows that micro-moments repeatedly occur within user’s timeline (covering more than 35% of user future activities) and can be learned from user logs. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.228.21.186

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sardianos, C.; Varlamis, I.; Dimitrakopoulos, G.; Anagnostopoulos, D.; Alsalemi, A.; Bensaali, F. and Amira, A. (2019). “I Want to ... Change”: Micro-moment based Recommendations can Change Users’ Energy Habits.In Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-373-5, pages 30-39. DOI: 10.5220/0007673600300039

@conference{smartgreens19,
author={Christos Sardianos. and Iraklis Varlamis. and George Dimitrakopoulos. and Dimosthenis Anagnostopoulos. and Abdullah Alsalemi. and Faycal Bensaali. and Abbes Amira.},
title={“I Want to ... Change”: Micro-moment based Recommendations can Change Users’ Energy Habits},
booktitle={Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2019},
pages={30-39},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007673600300039},
isbn={978-989-758-373-5},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - “I Want to ... Change”: Micro-moment based Recommendations can Change Users’ Energy Habits
SN - 978-989-758-373-5
AU - Sardianos, C.
AU - Varlamis, I.
AU - Dimitrakopoulos, G.
AU - Anagnostopoulos, D.
AU - Alsalemi, A.
AU - Bensaali, F.
AU - Amira, A.
PY - 2019
SP - 30
EP - 39
DO - 10.5220/0007673600300039

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.