Product Demand Forecasting Based on Reservoir Computing

Jorge Calvimontes and Jens Bürger ()
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Jorge Calvimontes: Universidad Privada Boliviana
Jens Bürger: Universidad Privada Boliviana

Chapter Chapter 2 in Operations Management for Social Good, 2020, pp 15-25 from Springer

Abstract: Abstract Common forecasting methods fail to accurately model the nonlinear and time-varying fluctuations of product demand. Reservoir computing (RC) utilizes a dynamical system to project time-series data to a higher-dimensional state representation extracting mathematical relations within complex demand functions. We demonstrate forecasting accuracy of RC on a multivariate product demand dataset.

Keywords: Demand forecasting; Reservoir computing; Time-series analysis (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-23816-2_2

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DOI: 10.1007/978-3-030-23816-2_2

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