The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency-Reference-Cited by-同舟云学术

The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency

Published:2020-10-21 Issue:2 Volume:36 Page:656-680
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J Intell Syst

Author:

Sardianos Christos¹,Varlamis Iraklis¹,Chronis Christos¹,Dimitrakopoulos George¹,Alsalemi Abdullah²,Himeur Yassine²,Bensaali Faycal²,Amira Abbes³

Affiliation:

1. Department of Informatics and Telematics Harokopio University of Athens Athens Greece

2. Department of Electrical Engineering Qatar University Doha Qatar

3. Institute of Artificial Intelligence De Montfort University Leicester UK

Funder

Qatar National Research Fund

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22314

Reference37 articles.

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3. A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

4. KlucknerPM WeissA SchrammelJ TscheligiM.Exploring persuasion in the home: Results of a long‐term study on energy consumption behavior. InProceedings of the 4th International Joint Conference on Ambient Intelligence. Dublin: Springer; 2013:150‐165.

5. PetkovP GoswamiS KöblerF KrcmarH.Personalised eco‐feedback as a design technique for motivating energy saving behaviour at home. InProceedings of the 7th Nordic Conference on Human‐Computer Interaction: Making Sense Through Design. Copenhagen: ACM; 2012:587‐596.

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