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Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems

Author
Pascual, J.; Cugueró, M.A.; Sànchez-Marrè, M.
Type of activity
Journal article
Journal
Environmental modelling & software
Date of publication
2021-06
Volume
140
Number
article 105021
First page
1
Last page
16
DOI
10.1016/j.envsoft.2021.105021
Project funding
Automatització de la construcció de sistemes intel·ligents de supervisió i control d'estacions depuradores d'aigües residuals (EDARs) mitjançant ús de fluxes de treball i entorns de programació visual
Intelligent Data sciencE and Artificial Intellidence
Repository
http://hdl.handle.net/2117/347174 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S1364815221000645 Open in new window
Abstract
This paper proposes an Intelligent Decision Support (IDS) methodology based on the integration of a data-driven technique —Case Based Reasoning (CBR)— and model-driven technique —Rule Based Reasoning (RBR)— for control, supervision and decision support on environmental systems. Design stage of control and decision support tools for environmental systems tend to be somehow ad-hoc regarding to the nature of the processes involved. Hence, an automated approach is proposed for the sake of sc...
Citation
Pascual, J.; Cugueró, M.A.; Sànchez-Marrè, M. Interoperating data-driven and model-driven techniques for the automated development of intelligent environmental decision support systems. "Environmental modelling & software", Juny 2021, vol. 140, article 105021, p. 1-16.
Keywords
Case-based reasoning, Data mining, Intelligent environmental decision support system, Intelligent process control, Rule-based reasoning, Wastewater treatment plant
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants