Combined Holt-Winters and GA trained ANN approach for sensor validation and reconstruction: application to water demand flowmeters
Visualitza/Obre
10.1109/SYSTOL.2016.7739751
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/102286
Tipus de documentText en actes de congrés
Data publicació2016
EditorIEEE Press
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
ProjecteOPERACION EFICIENTE DE INFRAESTRUCTURAS CRITICAS (MINECO-DPI2013-48243-C2-1-R)
CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOS (MINECO-DPI2014-58104-R)
CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOS (MINECO-DPI2014-58104-R)
Abstract
This paper proposes a Double Seasonal Holt-Winters (DSHW) forecasting model with an auxiliary Artificial Neural Network (ANN) trained with a Genetic Algorithm (GA) to model the DSHW residuals. ANN complements and improves the DSHW prediction. The proposed model also includes an on-line validation and reconstruction mechanism useful to detect and correct missing and erroneous data. This mechanism also impacts improving the DSHW prediction accuracy and precision. The proposed model and validation mechanism are applied to predict the time series generated by two monitored flowmeters of two sectors of Barcelona's drinking water network (DWN). The accuracy and precision improvement of the proposed method with respect to standard DSHW and ARIMA approaches is provided.
Descripció
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
CitacióRodríguez, H., Puig, V., Flores, J., López, R. Combined Holt-Winters and GA trained ANN approach for sensor validation and reconstruction: application to water demand flowmeters. A: International Conference on Control and Fault-Tolerant Systems. "SYSTOL 2016 - 3rd Conference on Control and Fault-Tolerant Systems, Barcelona, Spain, Sept. 7-9, 2016, proceedings book". Barcelona: IEEE Press, 2016, p. 196-201.
ISBN978-1-5090-0658-8
Versió de l'editorhttp://ieeexplore.ieee.org/document/7739751/
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Systol 16 paper 4.pdf | Postprint | 415,3Kb | Visualitza/Obre |