An adaptive multi-particle SDE framework using Euler-Maruyama discretization and Girsanov change of measure is developed for non-linear forecasting of marine engine parameters, claiming superior multi-step stability and efficiency over VARIMA.
Development of a mathematical model of diesel-generator units with a valve-inductor generator,
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Low Latency Stand Alone Compute-Efficient Forecasting of Marine Engine Time Series Data
An adaptive multi-particle SDE framework using Euler-Maruyama discretization and Girsanov change of measure is developed for non-linear forecasting of marine engine parameters, claiming superior multi-step stability and efficiency over VARIMA.