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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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21#
發(fā)表于 2025-3-25 04:38:16 | 只看該作者
Pavel A. Borisovsky,Anton V. Eremeev,Egor B. Grinkevich,Sergey A. Klokov,c V. Vinnikov
22#
發(fā)表于 2025-3-25 11:20:00 | 只看該作者
Vitaliy A. Yatsenko,Panos M. Pardalos,Steffen Rebennack
23#
發(fā)表于 2025-3-25 13:00:23 | 只看該作者
Takwai E. Lai,Abhay K. Koppar,Pratap C. Pullammanappallil,William P. Clarke
24#
發(fā)表于 2025-3-25 16:17:43 | 只看該作者
25#
發(fā)表于 2025-3-25 23:24:39 | 只看該作者
Current and Future Challenges for Production Planning Systemsll motivate the complexity of production planning, followed by a general solution approach to this task. The development of a new generation of energy management tools seems necessary to fulfill the need to handle uncertainty and eventually cover stochastic processes in energy planning. These new en
26#
發(fā)表于 2025-3-26 00:29:55 | 只看該作者
The Earth Warming Problem: Practical Modeling in Industrial Enterprises., steel, power, refinery and chemical, have to establish a powerful management system to deal with the Earth warming problem. The core of this management system is the planning function. The planner should take more complicated criteria into consideration than before. Some of the criteria conflict
27#
發(fā)表于 2025-3-26 04:46:22 | 只看該作者
28#
發(fā)表于 2025-3-26 11:54:51 | 只看該作者
29#
發(fā)表于 2025-3-26 16:42:23 | 只看該作者
New Effective Methods of Mathematical Programming and Their Applications to Energy Problems points of bounded convex sets, algorithms of their search as well as their different applications in convex programming, for elementary approximations of attainability sets, optimal control, global optimization of additive functions on convex polyhedrons and in the integer programming..New formulat
30#
發(fā)表于 2025-3-26 20:50:01 | 只看該作者
Improving Combustion Performance by Online Learningdimensional data stream generated by the combustion process. Thus the system‘s dynamics is captured. The concepts of virtual age of the boiler and the control settings are introduced. The confidence of applying a control setting to improve boiler performance is quantified. The framework is easy to i
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