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Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch
Local weather forecasts in the Arctic outside of settlements are challenging due to the dearth of ground-level observation stations and high computational costs. During winter, these forecasts are critical to help prepare for potentially hazardous weathe...
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Kristin C Irwin, Collin M Gilstrap, Paul L Drnevich, Chance M Tudor
Pág. 22 - 43
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Aavudai Anandhi, Christy Crandall and Chance Bentley
Streamflow is one the most important variables controlling and maintaining aquatic ecosystem integrity, diversity, and sustainability. This study identified and quantified changes in 34 hydrologic characteristics and parameters at 30 long term (1939?2016...
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Aavudai Anandhi, Christy Crandall and Chance Bentley
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John K. Chance
Pág. 71 - 86
Las alianzas matrimoniales entre familias gobernantes fueron un instrumento importante de integración política en la Mesoamérica Posclásica, especialmente en la Mixteca. Estas alianzas entre los nobles mixtecos persistieron a través de la época colonial,...
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Herman Mawengkang, Muhammad Romi Syahputra, Sutarman Sutarman and Gerhard Wilhelm Weber
Water distribution networks (WDNs) are defined as the planning for the development, distribution, and utilization of water resources. The main challenge of WDNs is to preserve limited water resources while providing effective benefits from these resource...
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Yana Agafonova, Alexey Tikhonov and Ivan P. Yamshchikov
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer?a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona...
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Kiyoharu Tagawa
In this paper, a new approach to solve Chance Constrained Problems (CCPs) using huge data sets is proposed. Specifically, instead of the conventional mathematical model, a huge data set is used to formulate CCP. This is because such a large data set is a...
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Georg F. Weber
Information flow for occurrences in phase space can be assessed through the application of the Lyapunov characteristic exponent (multiplicative ergodic theorem), which is positive for non-linear systems that act as information sources and is negative for...
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Shan Gao, Yiqing Zhang and Yu Liu
High renewables penetrated power systems would be greatly influenced by the uncertainty of variable renewable energy such as wind power and photovoltaic power. Unlike wind and photovoltaic plant, concentrating solar power with thermal energy storage has ...
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Hang Wang, Chenglong Zhang and Ping Guo
In this study, an interval quadratic fuzzy dependent-chance programming (IQFDCP) model is proposed for irrigation water management under uncertainty. This model can deal with the interval and fuzzy uncertainties encountered in optimal irrigation water re...
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Xiaogang Guo, Zhejing Bao, Zhijie Li and Wenjun Yan
In this paper, an adaptively constrained stochastic model predictive control (MPC) is proposed to achieve less-conservative coordination between energy storage units and uncertain renewable energy sources (RESs) in a microgrid (MG). Besides the economic ...
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Patrizia Beraldi, Antonio Violi, Maria Elena Bruni and Gianluca Carrozzino
The definition of the electric energy procurement plan represents a fundamental problem that any consumer has to deal with. Bilateral contracts, electricity market and self-production are the main supply sources that should be properly combined to satisf...
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Wei Li, Kuo Jiao, Zhe Bao, Yulei Xie, Jiliang Zhen, Guohe Huang and Lingbo Fu
Water shortage and water pollution have become major problems hindering socio-economic development. Due to the scarcity of water resources, the conflict between water supply and demand is becoming more and more prominent, especially in urban areas. In or...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji, Yong Liu
Pág. 1 - 18
A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Ye Xu, Wei Li, Xiaowen Ding
Pág. 1 - 18
In this paper, a stochastic multi-objective chance-constrained programming model (SMOCCP) was developed for tackling the water supply management problem. Two objectives were included in this model, which are the minimization of leakage loss amounts and t...
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Wei Li, Kuo Jiao, Zhe Bao, Yulei Xie, Jiliang Zhen, Guohe Huang, Lingbo Fu
Pág. 1 - 16
Water shortage and water pollution have become major problems hindering socio-economic development. Due to the scarcity of water resources, the conflict between water supply and demand is becoming more and more prominent, especially in urban areas. In or...
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Xujun Liu, Mengjiao Zhang, Han Su, Feifei Dong, Yao Ji and Yong Liu
A multi-objective chance-constrained programming integrated with Genetic Algorithm and robustness evaluation methods was proposed to weigh the conflict between system investment against risk for watershed load reduction, which was firstly applied to nutr...
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Paulo Rotela Junior, Luiz Célio Souza Rocha, Giancarlo Aquila, Edson de Oliveira Pamplona, Pedro Paulo Balestrassi, Anderson Paulo de Paiva
Pág. 623 - 631
The objective of this paper is to present a proposal to form robust portfolios using a stochastic efficiency analysis of assets from companies in the Sao Paulo Stock Exchange, focusing on the worst market state. In order to do this, information about the...
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Qingwu Gong, Jiazhi Lei and Jun Ye
With the penetration of distributed generators (DGs), operation planning studies are essential in maintaining and operating a reliable and secure power system. Appropriate siting and sizing of DGs could lead to many positive effects forthe distribution s...
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