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所在平台: Udemy |
课程主页: https://www.udemy.com/course/optimization-modelling-of-industrial-energy/
课程评论：没有评论
课程名称：Python与GAMS中的工业优化：现实世界模型 课程概述：本课程教授如何使用Python中的Pyomo和GAMS开发和应用数学优化模型，主要针对工业和能源系统的应用。课程从基础入手，结合实际项目和真实案例，帮助学员获得实践经验。内容涵盖电池、制冷机、电热泵、天然气炉、变压器和联合热电（CHP）装置等关键技术的建模，这些组件常用于制造业、化工厂和电力系统。课程的一个独特之处在于它专注于使用线性回归和世界银行数据预测到2050年的CO₂排放，培养学员的优化和数据分析技能。无论是建模工业流程，还是评估能源系统的环境影响，课程强调实用、可转移的技能。Pyomo和GAMS的内容将深入讲解，使其适用于学术和专业背景。 学习本课程后，学员将能够自信地从零开始构建和实施优化模型，以应对现实世界的挑战。学习优化建模和预测在一个日益依赖数据、效率和可持续性的世界中至关重要。该课程尤为适合希望在能源系统、制造、过程工业或环境规划领域工作的学生、工程师、分析师和有志于成为数据科学家的专业人才。公用事业、咨询、能源管理和政策分析等行业的专业人员也会发现这些技能非常实用。受益于本培训的职业包括能源系统分析师、运筹学研究员、工业工程师、可持续性顾问和数据驱动的环境规划者。随着对减少碳排放策略和资源高效运作需求的增加，建模和优化复杂系统以及预测排放趋势的能力，成为了私营和公共部门都非常需要的有价值技能。
1. For best price copy paste this code at checkout, after removing the space in the middle: 2D57DF976 EDF0CC839612. The course gets updated every 6-12 months. Visit often to download new material!3.Course Overview: This course teaches you how to develop and apply mathematical optimization models using Python with Pyomo and GAMS for industrial and energy system applications. You'll start from the fundamentals, gaining hands-on experience through practical projects and real-world case studies. The course covers modeling of key technologies such as batteries, chillers, electric heat pumps, natural gas furnaces, transformers, and CHP units-components commonly used in manufacturing, chemical plants, and power systems. A unique feature of the course is its focus on forecasting CO₂ emissions up to 2050 using linear regression and World Bank data, equipping you with both optimization and data analysis skills. Whether you're modeling an industrial process or assessing the environmental impact of energy systems, the course emphasizes practical, transferable skills. Both Pyomo and GAMS are covered in-depth, making the content relevant for both academic and professional contexts. By the end, you'll be confident in building and implementing optimization models from scratch for real-world challenges. Learning optimization modeling and forecasting is crucial in a world increasingly driven by data, efficiency, and sustainability. This course is especially important for students, engineers, analysts, and aspiring data scientists aiming to work in energy systems, manufacturing, process industries, or environmental planning. Professionals in sectors such as utilities, consulting, energy management, and policy analysis will also find the skills highly applicable. Careers that benefit from this training include energy system analysts, operations researchers, industrial engineers, sustainability consultants, and data-driven environmental planners. With the rising need for carbon reduction strategies and resource-efficient operations, the ability to model and optimize complex systems while also projecting emissions trends is a valuable and in-demand skill set across both private and public sectors.
