Nearest-Neighbours for Time Series
Applied Intelligence
Reasoning About Actions for the Management of Urban Wastewater Systems: Preliminary report
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Reasoning About Actions for the Management of Urban Wastewater Systems: Preliminary report
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Supporting decision making in urban wastewater systems using a knowledge-based approach
Environmental Modelling & Software
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Presents a progress report on integrating predictive skills into an integrated AI system for wastewater treatment plant (WWTP) supervision and control. Although the embedded approaches within the previously developed architecture, called DAI-DEPUR, such as numerical control knowledge, rule-based reasoning and case-based reasoning, are able to cope with the overall supervision task of a plant, one feature is missing: predictive knowledge. With the previous approaches, the supervisory system works reasonably well, but the actuation process always restores the normal operation of a WWTP tardily. Thus, the supervision is implemented in an a posteriori fashion, which can be very dangerous for the environment. The integration of a new kind of knowledge can overcome this problem of control systems.