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A hybrid recommender system to improve circular economy in industrial symbiotic networks

Author
Gatzioura, A.; Sànchez-Marrè, M.; Gibert, Karina
Type of activity
Journal article
Journal
Energies
Date of publication
2019-09-16
Volume
12
Number
18
First page
3546: 1
Last page
3546: 24
DOI
10.3390/en12183546
Repository
http://hdl.handle.net/2117/185448 Open in new window
URL
https://www.mdpi.com/1996-1073/12/18/3546 Open in new window
Abstract
Recently, the need of improved resource trading has arisen due to resource limitations and energy optimization problems. Various platforms supporting resource exchange and waste reuse in industrial symbiotic networks are being developed. However, the actors participating in these networks still mainly act based on predefined patterns, without taking the possible alternatives into account, usually due to the difficulty of properly evaluating them. Therefore, incorporating intelligence into the pl...
Citation
Gatzioura, A.; Sànchez-Marrè, M.; Gibert, K. A hybrid recommender system to improve circular economy in industrial symbiotic networks. "Energies", 16 Setembre 2019, vol. 12, núm. 18, p. 3546: 1-3546: 24.
Keywords
Case-based reasoning, Energy consumption optimization, Hybrid recommender systems, Industrial symbiotic networks, Waste optimization
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants

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