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DTSTART;TZID=America/Chicago:20250227T083000
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DTSTAMP:20260601T195656
CREATED:20241121T155304Z
LAST-MODIFIED:20241121T155418Z
UID:337-1740645000-1740672000@opex-events.afpm.org
SUMMARY:Eastern Gulf Coast PS Regional Network Meeting
DESCRIPTION:Process Safety Regional Network Meeting
URL:https://opex-events.afpm.org/event/eastern-gulf-coast-ps-regional-network-meeting-2/
LOCATION:Garyville\, LA
CATEGORIES:Regional Network Meetings
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DTSTART;TZID=America/New_York:20250227T140000
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DTSTAMP:20260601T195656
CREATED:20250226T142011Z
LAST-MODIFIED:20250226T142011Z
UID:581-1740664800-1740668400@opex-events.afpm.org
SUMMARY:OPEX Webinar: AI Plant Control: A Reinforcement Learning Approach to Process Optimization
DESCRIPTION:Register now for the AFPM Webinar: AI Plant Control: A Reinforcement Learning Approach to Process Optimization \nArtificial Intelligence Plant Control (AIPC)\, leveraging Reinforcement Learning (RL)\, offers a transformative approach to process plant optimization\, addressing key limitations of traditional Model Predictive Control (MPC). Continuous improvement in plant profitability and safety demands an integrated approach\, combining all digital tools for Advanced Process Control. Robust safety mechanisms and validation procedures are essential to prevent undesirable control actions. There must be a tight integration between various automation applications\, such as procedural automation\, AIPC\, basic process control in DCS\, and Safety Instrumented Systems. This webinar discusses insights from AIPC implementation at Air Separation Units\, involving complex cryogenic distillation and heat integration processes. \nPresenters\nRajeev Limaye\, Director\, Linde Advanced Operations Services\nLena Tetampel\, Advanced Process Control Engineer\, Linde Engineering \nModerator\nAtique Malik\, AIControl\, LLC
URL:https://opex-events.afpm.org/event/opex-webinar-ai-plant-control-a-reinforcement-learning-approach-to-process-optimization/
LOCATION:Virtual\, United States
CATEGORIES:Webinars
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