Demand Prediction Professors in Global

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George Exarchakos
Eindhoven University of Technology Belgium
demand-driven resource discovery
predictive networks
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Elle Saber
Australian National University Australia
predictive modeling
genomic prediction
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Georg Jost
University of British Columbia Canada
probabilistic forecasting
forecast verification
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Glenda Wardle
University of Sydney Australia
predictive modeling
ecosystem forecasting
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Peder Bacher
Technical University of Denmark Denmark
forecasting heat load
solar power forecasting
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Cebrina Lindstrøm
Technical University of Denmark Denmark
demand prediction
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Moshe Ben-akiva
Massachusetts Institute of Technology United States of America
demand modeling
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Karen Aardal
Delft University of Technology Netherlands
demand optimization
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Rico Krueger
Technical University of Denmark Denmark
travel demand forecasting
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Ahsan Habib
Dalhousie University Canada
travel demand forecasting
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Jose Ulerio
New York University Tandon School of Engineering United States of America
travel demand forecasting
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Martijn Warnier
Delft University of Technology Netherlands
demand planning
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David Alexander
Texas A&M University United States of America
demand generation
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Zofia Lukszo
Delft University of Technology Netherlands
demand prices
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G. Jongbloed
Delft University of Technology Netherlands
distribution prediction
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Feixiong Liao
Eindhoven University of Technology Belgium
demand management
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Martijn Warnier
Delft University of Technology Netherlands
demand management
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Paolo Bientinesi
Umeå University Sweden
performance prediction
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Mike Holenderski
Eindhoven University of Technology Belgium
performance prediction
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Jeppe Rich
Technical University of Denmark Denmark
transport demand modelling
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Doina Olaru
University of Western Australia Australia
transport demand modelling
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