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  • Search: subject:"Synthetic data generation"
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Year of publication
Subject
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Synthetic data generation 5 Artificial intelligence 2 Autocorrelation function 2 Künstliche Intelligenz 2 Wind speed 2 multi-source analysis 2 multivariate modeling 2 social simulation 2 synthetic data generation 2 Augmented language models 1 Beschwerdemanagement 1 Business process management 1 Complaint management 1 Cross-correlation 1 Dienstleistungsqualität 1 Dienstleistungssektor 1 Diurnal pattern 1 Diurnal profile 1 Generative adversarial networks 1 Grid-connected system 1 Housing market 1 Immobilienmarkt 1 Immobilienpreis 1 Language 1 Large language models 1 Machine learning 1 Markov chain 1 Microsimulation 1 Mikrosimulation 1 Off-grid system 1 Optimization algorithm 1 Power spectral density 1 Prozessmanagement 1 Real estate market 1 Real estate price 1 Scenario-based methods 1 Service failures and recoveries 1 Service industry 1 Service quality 1 Service research 1
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Online availability
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Undetermined 5 Free 2 CC license 1
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Article 1
Language
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English 4 Undetermined 3
Author
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Carapellucci, Roberto 3 Giordano, Lorena 3 Burgard, Jan Pablo 2 Dieckmann, Hanna 2 Krause, Joscha 2 Merkle, Hariolf 2 Neufang, Kristina M. 2 Schmaus, Simon 2 Bickley, Steven J. 1 Chan, Ho Fai 1 Dao, Bang 1 Münnich, Ralf 1 Münnich, Ralf T. 1 Torgler, Benno 1 Tran, Son 1 Yilmaz, Bilgi 1 Zimbatu, Alexandra 1
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Published in...
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Applied Energy 2 Computational economics 1 Energy 1 Statistics in Transition New Series 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1 The journal of services marketing 1
Source
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ECONIS (ZBW) 3 RePEc 3 EconStor 1
Showing 1 - 7 of 7
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Comparing human and synthetic data in service research : using augmented language models to study service failures and recoveries
Bickley, Steven J.; Chan, Ho Fai; Dao, Bang; Torgler, Benno - In: The journal of services marketing 39 (2025) 1, pp. 36-52
Persistent link: https://www.econbiz.de/10015207232
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Housing gans : deep generation of housing market data
Yilmaz, Bilgi - In: Computational economics 64 (2024) 1, pp. 579-594
Persistent link: https://www.econbiz.de/10015078047
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A generic business process model for conducting microsimulation studies
Burgard, Jan Pablo; Dieckmann, Hanna; Krause, Joscha; … - In: Statistics in Transition New Series 21 (2020) 4, pp. 191-211
Microsimulations make use of quantitative methods to analyze complex phenomena in populations. They allow modeling socioeconomic systems based on micro-level units such as individuals, households, or institutional entities. However, conducting a microsimulation study can be challenging. It often...
Persistent link: https://www.econbiz.de/10012600252
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A generic business process model for conducting microsimulation studies
Burgard, Jan Pablo; Dieckmann, Hanna; Krause, Joscha; … - In: Statistics in transition : an international journal of … 21 (2020) 4, pp. 191-211
Microsimulations make use of quantitative methods to analyze complex phenomena in populations. They allow modeling socioeconomic systems based on micro-level units such as individuals, households, or institutional entities. However, conducting a microsimulation study can be challenging. It often...
Persistent link: https://www.econbiz.de/10012317769
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A new approach for synthetically generating wind speeds: A comparison with the Markov chains method
Carapellucci, Roberto; Giordano, Lorena - In: Energy 49 (2013) C, pp. 298-305
The steady growth in the utilisation of wind power for electricity generation has led to increased interest in methods for synthetically generating wind speeds that are able to more accurately determine the site potential.
Persistent link: https://www.econbiz.de/10010808946
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A methodology for the synthetic generation of hourly wind speed time series based on some known aggregate input data
Carapellucci, Roberto; Giordano, Lorena - In: Applied Energy 101 (2013) C, pp. 541-550
The availability of hourly wind speed data is becoming increasingly important for ensuring the proper design of wind energy conversion systems. For many sites, measured series of such high resolution are incomplete or entirely lacking; hence the need for a model for synthesizing wind speed data.
Persistent link: https://www.econbiz.de/10010594045
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The effect of diurnal profile and seasonal wind regime on sizing grid-connected and off-grid wind power plants
Carapellucci, Roberto; Giordano, Lorena - In: Applied Energy 107 (2013) C, pp. 364-376
In a high wind penetration scenario in electricity production, the availability of models for synthetically generating hourly wind speed data becomes increasingly important for both sizing and modeling integrated renewable systems. A methodology for generating hourly wind speed time series is...
Persistent link: https://www.econbiz.de/10010664089
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