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Title: System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives

Abstract

Systems and methods for modeling and forecasting cyclical demand systems in the presence of dynamic control or dynamic incentives. A method for modeling a cyclical demand system comprises obtaining historical data on one or more demand measurements over a plurality of demand cycles, obtaining historical data on incentive signals over the plurality of demand cycles, constructing a model using the obtained historical data on the one or more demand measurements and the incentive signals, wherein constructing the model comprises specifying a state-space model, specifying variance parameters in the model, and estimating unknown variance parameters.

Inventors:
; ; ; ;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1650798
Patent Number(s):
10628838
Application Number:
13/869,628
Assignee:
International Business Machines Corporation (Armonk, NY)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06Q - DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
DOE Contract Number:  
OE0000190
Resource Type:
Patent
Resource Relation:
Patent File Date: 04/24/2013
Country of Publication:
United States
Language:
English

Citation Formats

Ghosh, Soumyadip, Hosking, Jonathan R. M., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives. United States: N. p., 2020. Web.
Ghosh, Soumyadip, Hosking, Jonathan R. M., Natarajan, Ramesh, Subramanian, Shivaram, & Zhang, Xiaoxuan. System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives. United States.
Ghosh, Soumyadip, Hosking, Jonathan R. M., Natarajan, Ramesh, Subramanian, Shivaram, and Zhang, Xiaoxuan. Tue . "System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives". United States. https://www.osti.gov/servlets/purl/1650798.
@article{osti_1650798,
title = {System and method for modeling and forecasting cyclical demand systems with dynamic controls and dynamic incentives},
author = {Ghosh, Soumyadip and Hosking, Jonathan R. M. and Natarajan, Ramesh and Subramanian, Shivaram and Zhang, Xiaoxuan},
abstractNote = {Systems and methods for modeling and forecasting cyclical demand systems in the presence of dynamic control or dynamic incentives. A method for modeling a cyclical demand system comprises obtaining historical data on one or more demand measurements over a plurality of demand cycles, obtaining historical data on incentive signals over the plurality of demand cycles, constructing a model using the obtained historical data on the one or more demand measurements and the incentive signals, wherein constructing the model comprises specifying a state-space model, specifying variance parameters in the model, and estimating unknown variance parameters.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {4}
}

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