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標題: Titlebook: BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems; Urmila Diwekar,Amy David Book 2015 Urmila Diwekar, Amy David 20 [打印本頁]

作者: Forestall    時間: 2025-3-21 17:21
書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems影響因子(影響力)




書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems影響因子(影響力)學科排名




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書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems網(wǎng)絡(luò)公開度學科排名




書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems被引頻次




書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems被引頻次學科排名




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書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems讀者反饋




書目名稱BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems讀者反饋學科排名





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作者: intercede    時間: 2025-3-22 06:17
Book 2015works, sensor placement in advanced power systems, water management in power systems, and capacity expansion of energy systems. A generalized method for stochastic nonlinear programming based on a sampling based approach for uncertainty analysis and statistical reweighting to obtain probability info
作者: 一窩小鳥    時間: 2025-3-22 08:50
Nutrition and Diabetic Retinopathy,eneration process itself. The amount of water consumed varies with two ambient weather factors: the dry-bulb temperature (temperature as measured by a thermometer shielded from moisture) and the humidity of the outside air, both of which are subject to significant uncertainty, and vary with the season and geographical region.
作者: 無辜    時間: 2025-3-22 16:21
Pregnancy and Weight Loss Surgeryustry-level decision making under a pollutant trading scheme faces many difficulties, especially in the presence of uncertainty. In this chapter, the L-shaped BONUS algorithm is applied to the pollutant trading problem to optimize such decisions. This chapter is based on the paper by Shastri and Diwekar.
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作者: breadth    時間: 2025-3-22 23:50
The Environmental Trading Problem,ustry-level decision making under a pollutant trading scheme faces many difficulties, especially in the presence of uncertainty. In this chapter, the L-shaped BONUS algorithm is applied to the pollutant trading problem to optimize such decisions. This chapter is based on the paper by Shastri and Diwekar.
作者: 手榴彈    時間: 2025-3-23 02:22
2190-8354 g problems.Describes a new technique that can be used in areThis book presents the details of the BONUS algorithm and its real world applications in areas like sensor placement in large scale drinking water networks, sensor placement in advanced power systems, water management in power systems, and
作者: Modicum    時間: 2025-3-23 06:54

作者: Offensive    時間: 2025-3-23 13:09
Michelle Price Judge,Cheryl Tatano Beckrk for real-time optimization of power generation is advantageous over a deterministic framework in maximizing power output. In this chapter, it is shown that significant cost savings can be achieved if optimization is done on an hourly basis, and the plant set points are changed accordingly.
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作者: 人類    時間: 2025-3-23 20:35
Uncertainty Analysis and Sampling Techniques,rm distributions represent an equal likelihood of a value lying anywhere within a specified range, on either a linear or logarithmic scale, respectively. Furthermore, a normal (Gaussian) distribution reflects a symmetric but varying probability of a parameter value being above or below the mean value.
作者: 執(zhí)拗    時間: 2025-3-24 01:45
Real-Time Optimization forWater Management,rk for real-time optimization of power generation is advantageous over a deterministic framework in maximizing power output. In this chapter, it is shown that significant cost savings can be achieved if optimization is done on an hourly basis, and the plant set points are changed accordingly.
作者: 最低點    時間: 2025-3-24 02:59
The L-Shaped BONUS Algorithm,objective function has the action term, and the recourse function is dependent on the uncertainties and recourse decisions. The recourse function can be a discontinuous nonlinear function in . and . space.
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Water Security Networks,rk design, such as chemical propagation, concentration of disinfectants, contamination minimization, etc., is far less prominent, though such factors should be considered at the design stage to best make water networks secure from contamination.
作者: Certainty    時間: 2025-3-24 16:39
Uncertainty Analysis and Sampling Techniques, The type of distribution chosen for an uncertain variable reflects the amount of information that is available. For example, the uniform and loguniform distributions represent an equal likelihood of a value lying anywhere within a specified range, on either a linear or logarithmic scale, respective
作者: Texture    時間: 2025-3-24 19:29
Water Management Under Weather Uncertainty,thermoelectric power generation increases in the USA (the Energy Information Administration estimates that thermoelectric power generation will grow 22 % by 2030), so does the importance of managing the water used in these plants. In a clean coal-fired power plant, water is consumed in makeups (wate
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作者: 忘恩負義的人    時間: 2025-3-25 05:40

作者: arrogant    時間: 2025-3-25 08:01
The L-Shaped BONUS Algorithm, recourse. In stochastic programming problems with recourse, there is action (.), followed by observation, and then recourse.. In these problems, the objective function has the action term, and the recourse function is dependent on the uncertainties and recourse decisions. The recourse function can
作者: Lipohypertrophy    時間: 2025-3-25 13:19
The Environmental Trading Problem,d to an increased focus on waste management decisions as a component of industrial sustainability. Pollutant credit trading, an approach that provides economic incentives for reducing pollution, is one novel idea introduced in an attempt to reduce the financial burden of waste management. Both the U
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作者: scoliosis    時間: 2025-3-26 19:46
Nutrition and Diabetic Retinopathy,Stochastic modeling loop in the stochastic optimization framework involves dealing with evaluation of a probabilistic objective function and constraints from the output data. Probability density functions (PDFs) are a fundamental tool used to characterize uncertain data. Equation?3.1 shows the definition of a PDF . of variable ..
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作者: palette    時間: 2025-3-27 13:59
Sensor Placement Under Uncertainty for Power Plants, then applied to the problem of sensor placement in an integrated gasification combined cycle power plant, and how BONUS significantly reduces computational resources while contributing to an appropriate solution is shown. This chapter is derived from the work by Lee and Diwekar.
作者: 決定性    時間: 2025-3-27 17:55
https://doi.org/10.1007/978-1-4939-2282-6BONUS algorithm; SNLP; Stochastic Programming; power systems; sensor placement; water management
作者: 泥土謙卑    時間: 2025-3-27 23:05

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作者: NAIVE    時間: 2025-3-28 07:53
Nutrition and Diabetic Retinopathy,thermoelectric power generation increases in the USA (the Energy Information Administration estimates that thermoelectric power generation will grow 22 % by 2030), so does the importance of managing the water used in these plants. In a clean coal-fired power plant, water is consumed in makeups (wate
作者: cogitate    時間: 2025-3-28 12:22
Michelle Price Judge,Cheryl Tatano Beckanage due to its dependence on ambient weather conditions. Because weather conditions are both constantly changing and uncertain, a stochastic framework for real-time optimization of power generation is advantageous over a deterministic framework in maximizing power output. In this chapter, it is sh
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Sarah Gopman,Larry Leeman,Lana K. Wagner recourse. In stochastic programming problems with recourse, there is action (.), followed by observation, and then recourse.. In these problems, the objective function has the action term, and the recourse function is dependent on the uncertainties and recourse decisions. The recourse function can
作者: Conclave    時間: 2025-3-28 23:55
Pregnancy and Weight Loss Surgeryd to an increased focus on waste management decisions as a component of industrial sustainability. Pollutant credit trading, an approach that provides economic incentives for reducing pollution, is one novel idea introduced in an attempt to reduce the financial burden of waste management. Both the U
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