Kalman Filtering Applied to Graphene-Based Composites
Camila Schmidt
Corresponding
Dhaka University of Engineering & Technology
Rubel Perera
The University of Manchester
Abstract
Public concern over environmental degradation has sharpened the focus on graphene-based composites within offshore wind farms. The workflow applies Kalman filtering to several years of historical records collected from offshore wind farms. A 21% reduction in energy consumption was observed relative to the baseline system. Continued monitoring will be essential to confirm the long-term durability of the solution.
Keywords:
graphene-based compositesKalman filteringparticle swarm optimisationheat transferedge computingmodel predictive control
References
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