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  • Search: subject:"Probabilistic modeling"
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Year of publication
Subject
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Probabilistic modeling 7 probabilistic modeling 4 Distributed generators 2 Micro-grid 2 Smart distribution grids 2 Uncertainty 2 Aerodynamic stochastic model 1 Airfoil aerodynamics uncertainty 1 Beziehungsmarketing 1 Business network 1 Capital income 1 Capital investment decisions 1 China 1 Clickstream data 1 Competition 1 Computer network 1 Computernetz 1 Consumer behaviour 1 Customer value 1 Darknet 1 Direct marketing 1 Dynamic Decision Management 1 E-commerce 1 Ecological niche 1 Einzelhandel 1 Electric power industry 1 Electricity grid 1 Electricity supply 1 Electronic Commerce 1 Elektrizitätsversorgung 1 Elektrizitätswirtschaft 1 Extreme wind loads 1 Flex Value 1 Forecasting 1 Fuzzy arithmetic 1 Generative probabilistic modeling 1 Info-gap decision theory 1 Internet marketing 1 Internet worm tomography 1 Interval based analysis 1
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Online availability
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Undetermined 8 Free 4 CC license 1
Type of publication
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Article 10 Other 2
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Article 1 conceptual-paper 1 research-article 1
Language
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English 6 Undetermined 6
Author
All
Anderson, Simon 2 Qiao, Zhi 2 Wang, Guo 2 Wang, Jiuhui 2 Wang, Qinqin 2 Abdallah, I. 1 Amraee, Turaj 1 Antai, Imoh 1 Arms, Hanjo 1 Cheng, Yichen 1 Chun, Young H. 1 DeCherney, Alan H. 1 Ghoshal, Abhijeet 1 Goodell, John W. 1 Hershlag, Avner 1 Jabr, Wael 1 Kaplan, Edward H. 1 Kleiderman, Valeska 1 Lahmar, Oumaima 1 Lavy, Gady 1 Natarajan, A. 1 Pavlou, Paul A. 1 Shen, Dehua 1 Soroudi, Alireza 1 Sørensen, J.D. 1 Wang, Qian 1 Wiecher, Mathias 1 Zhang, Zuochao 1 Ziebart, Brian D. 1
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Published in...
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Energy Reports 1 Energy reports 1 European Journal of Operational Research 1 International review of financial analysis 1 Journal of management information systems : JMIS 1 Management Research Review 1 Management Science 1 Renewable Energy 1 Renewable and Sustainable Energy Reviews 1 Strategy & Leadership 1
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Source
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RePEc 4 ECONIS (ZBW) 3 BASE 2 Other ZBW resources 2 EconStor 1
Showing 1 - 10 of 12
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Media opinion divergence and stock returns : evidence from China
Zhang, Zuochao; Goodell, John W.; Shen, Dehua; Lahmar, … - In: International review of financial analysis 93 (2024), pp. 1-14
Persistent link: https://www.econbiz.de/10014543420
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Maximizing online revisiting and purchasing : a clickstream-based approach to enhancing customer lifetime value
Jabr, Wael; Ghoshal, Abhijeet; Cheng, Yichen; Pavlou, … - In: Journal of management information systems : JMIS 40 (2023) 2, pp. 470-502
Persistent link: https://www.econbiz.de/10014302597
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Optimal planning of multi-micro grids based-on networks reliability
Wang, Guo; Wang, Qinqin; Qiao, Zhi; Wang, Jiuhui; … - In: Energy Reports 6 (2020), pp. 1233-1249
Traditional electrical grid as the largest and most complex industry in the world is currently under fundamental development. According to the IEEE Std1547.4, large distribution systems can be clustered into a number of micro-grids (MGs) to facilitate the control and operation infrastructure in...
Persistent link: https://www.econbiz.de/10012652478
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Optimal planning of multi-micro grids based-on networks reliability
Wang, Guo; Wang, Qinqin; Qiao, Zhi; Wang, Jiuhui; … - In: Energy reports 6 (2020), pp. 1233-1249
Traditional electrical grid as the largest and most complex industry in the world is currently under fundamental development. According to the IEEE Std1547.4, large distribution systems can be clustered into a number of micro-grids (MGs) to facilitate the control and operation infrastructure in...
Persistent link: https://www.econbiz.de/10012221249
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Characterizing InternetWorm Spatial-Temporal Infection Structures
Wang, Qian - 2010
topology formed by worm infection. Specifically, we apply probabilistic modeling methods and a sequential growth model. We show …
Persistent link: https://www.econbiz.de/10009460563
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Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
Ziebart, Brian D. - 2010
Predicting human behavior from a small amount of training examples is a challenging machine learning problem. In this thesis, we introduce the principle of maximum causal entropy, a general technique for applying information theory to decision-theoretic, game-theoretic, and control settings...
Persistent link: https://www.econbiz.de/10009441102
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Impact of uncertainty in airfoil characteristics on wind turbine extreme loads
Abdallah, I.; Natarajan, A.; Sørensen, J.D. - In: Renewable Energy 75 (2015) C, pp. 283-300
Wind tunnel test measurements to characterize the static lift and drag coefficients of airfoils used in wind turbine blades are shown to possess large uncertainties, which leads to uncertainties in the aerodynamic loads on the rotor. In this paper a rational stochastic model is proposed to...
Persistent link: https://www.econbiz.de/10011116562
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Decision making under uncertainty in energy systems: State of the art
Soroudi, Alireza; Amraee, Turaj - In: Renewable and Sustainable Energy Reviews 28 (2013) C, pp. 376-384
The energy system studies include a wide range of issues from short term (e.g. real-time, hourly, daily and weekly operating decisions) to long term horizons (e.g. planning or policy making). The decision making chain is fed by input parameters which are usually subject to uncertainties. The art...
Persistent link: https://www.econbiz.de/10010709399
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Monte Carlo analysis of estimation methods for the prediction of customer response patterns in direct marketing
Chun, Young H. - In: European Journal of Operational Research 217 (2012) 3, pp. 673-678
In direct marketing, customers are usually asked to take a specific action, and their responses are recorded over time and stored in a database. Based on the response data, we can estimate the number of customers who will ultimately respond, the number of responses anticipated to receive by a...
Persistent link: https://www.econbiz.de/10011052759
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Dynamic models for managing big decisions
Arms, Hanjo; Wiecher, Mathias; Kleiderman, Valeska - In: Strategy & Leadership 40 (2012) 5, pp. 39-46
Purpose – This paper seeks to describe a new approach to analyzing critical resource investment plans, Dynamic Decision Making (DDM), an A.T. Kearney innovation based on a sophisticated modeling process that can improve the quality and transparency of decision making....
Persistent link: https://www.econbiz.de/10015016785
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