SYSTEMS AND METHODS FOR MULTI-PERIOD OPTIMIZATION FORECASTING WITH PARALLEL EQUATION-ORIENTED MODELS

    公开(公告)号:US20230375990A1

    公开(公告)日:2023-11-23

    申请号:US18200020

    申请日:2023-05-22

    CPC classification number: G05B13/048

    Abstract: Implementations described and claimed herein provide systems and methods for a scripting technique to clone equation-oriented models of a modeled system for parallel simulation of the modeled system. The multiple equation-oriented models may be solved in parallel to quickly create an optimized solution for different operating conditions by providing different input variable sets to the cloned equation-oriented models. The multiple equation-oriented models may provide real-time optimization of the modeled system to provide continuous optimization of all controls or handles of the system to help achieve a target performance of the system. The equation-oriented models may also provide a nomination tool to predict the output of the system over a nomination period with different input variables and performance monitoring capabilities of the system. Offline “what-if” simulations may also be executed on the equation-oriented modeling system to aid operators in predicting performance of the modeled system and troubleshoot potential problems.

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