Industrial Energy Systems Optimization with Python & GAMS

Partner: Udemy
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Description: SPECIAL OFFER: Save today! Copy this code at checkout (remove the middle space):     AFF9B97A5 3C424352F48WHO I AM: Researcher and educator specializing in energy data science (PhD in Energy, Imperial College London, 40+ publications)REGULAR ENHANCEMENTS: Course reviewed periodically with updates.What You'll Learn:How to build mathematical optimization models for industrial energy systems from scratch using Python (Pyomo) and GAMSHow to model and optimize key industrial components: natural gas furnaces, chillers, transformers, batteries, CHP units, and electric heat pumpsHow to integrate multiple energy technologies into complex, multi-stage optimization problemsHow to handle real-world constraints including forward contracts, energy demand patterns, and operational limitsHow to solve industrial scheduling and dispatch problems to minimize costs while meeting heating/cooling demandsHow to transition seamlessly between Python and GAMS implementations for the same optimization problemHow to interpret optimization results and make data-driven decisions for industrial energy managementPerfect For:Industrial engineers and energy system analystsOperations research professionals in manufacturing and utilitiesEnergy consultants and sustainability managersProcess engineers in chemical plants and manufacturing facilitiesData scientists working in energy and industrial sectorsGraduate students in operations research, industrial engineering, or energy systemsEnergy managers seeking to optimize facility operationsTechnical professionals
Category: Development > Data Science > Energy
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Price: 39.99
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Source: Impact
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