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Task-Relevant Encoding of Domain Knowledge in Dynamics Modelling: Application to Furnace Forecasting from Video
2022
IEEE Access
Waste incineration plants are complex dynamical systems that rely on expert human operators to maintain steady combustion, by observing real-time in-chamber video feeds. Real-time plant forecasting provides vital operational support in decision making, and applying machine learning to automatically learn dynamics forecast models from video feeds is an attractive means to realise this. However, learning complex dynamics in systems that requires cost-efficiency remains an open research problem.
doi:10.1109/access.2022.3140758
fatcat:nqlrsbprzreqlgc3bseny5rfqm