Tuning hyperparameters of a SVM-based water demand forecasting system through parallel global optimization
Antonio Candelieri, Ilaria Giordani, Francesco Archetti, Konstantin Barkalov, Iosif Meyerov, Alexey Polovinkin, Alexander Sysoyev, Nikolai Zolotykh
| Year of publication: |
2019
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|---|---|
| Authors: | Candelieri, Antonio ; Giordani, Ilaria ; Archetti, Francesco ; Barkalov, Konstantin ; Meyerov, Iosif ; Polovinkin, Alexey ; Sysoyev, Alexander ; Zolotykh, Nikolai |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 106.2019, p. 202-209
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| Subject: | Short-term water demand forecasting | Support Vector Machine | Global optimization | Time-series clustering | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Wasserversorgung | Water supply | Mathematische Optimierung | Mathematical programming | Wasser | Water | Theorie | Theory | Prognose | Forecast | Mustererkennung | Pattern recognition | Zeitreihenanalyse | Time series analysis |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2018.01.013 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012014411