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Titlebook: Optimization in the Energy Industry; Josef Kallrath,Panos M. Pardalos,Max Scheidt Book 2009 Springer-Verlag Berlin Heidelberg 2009 Electri

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發(fā)表于 2025-3-21 16:51:46 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimization in the Energy Industry
編輯Josef Kallrath,Panos M. Pardalos,Max Scheidt
視頻videohttp://file.papertrans.cn/704/703263/703263.mp4
概述Provides a broad introduction into the field of energy production and trading by discussion about 20 real world cases.Besides the overview the reader learns about mathematical optimization methods use
叢書名稱Energy Systems
圖書封面Titlebook: Optimization in the Energy Industry;  Josef Kallrath,Panos M. Pardalos,Max Scheidt Book 2009 Springer-Verlag Berlin Heidelberg 2009 Electri
描述.Today, the optimization of production planning processes using IT and quantitative methods is a de-facto standard in the energy industry. The energy problem is challenging and one of the most important political and economical issues in the world. Governments face the problem how to adopt the system of `Cap and Trade.‘ Especially, energy consuming industries, like steel, power, oil and chemical, are seriously confronted with this problem....The book offers a broad in-depth overview reflecting the requirements, possibilities and limits of mathematical optimization and, especially, stochastic optimization in the energy industry. 22 chapters with world-wide origins illuminate the mathematical requirements based on practical experiences and provide an ideal insight into the energy world -- from integration of wind energy, chain of errors in nuclear power plants and scheduling of hydroelectric power stations, over risk assessment in trading activities to various mathematicalapproaches..
出版日期Book 2009
關(guān)鍵詞Electric Power; Electricity Markets; Energy; Mathematical Optimization; Stochastic Optimization; linear o
版次1
doihttps://doi.org/10.1007/978-3-540-88965-6
isbn_softcover978-3-642-10031-4
isbn_ebook978-3-540-88965-6Series ISSN 1867-8998 Series E-ISSN 1867-9005
issn_series 1867-8998
copyrightSpringer-Verlag Berlin Heidelberg 2009
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The Earth Warming Problem: Practical Modeling in Industrial Enterprises the first step to accomplish a practical planning tool for ordinary planning persons for daily decision making work processes. Mathematical programming approaches are very promising to develop this kind of planning tool.
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Stochastic Model of the German Electricity Systemastic programming options as latest extension of the model generator. The stochastic parameters are the fuel costs respectively the CO2 prices. It is also attempted to handle the supply of wind energy in a stochastic way.
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Trading Hubs Construction for Electricity Marketson is viewed as a mathematical programming problem here. We discuss its connections with clustering problems, consider the heuristic algorithms of solution and indicate some complexity issues. The performance of algorithms is illustrated on the real-life data.
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