Short-term load forecasting of urban gas using a hybrid model based on improved fruit fly optimization algorithm and support vector machine
Year of publication: |
2019
|
---|---|
Authors: | Lu, Hongfang ; Azimi, Mohammadamin ; Iseley, Tom |
Published in: |
Energy reports. - Amsterdam [u.a.] : Elsevier, ISSN 2352-4847, ZDB-ID 2814795-9. - Vol. 5.2019, p. 666-677
|
Subject: | Forecasting | Fruit fly optimization algorithm | Gas load | Short-term | Support vector machine | Urban gas | Mustererkennung | Pattern recognition | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm | Prognose | Forecast | Gaswirtschaft | Gas industry | Mathematische Optimierung | Mathematical programming | Theorie | Theory |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.1016/j.egyr.2019.06.003 [DOI] hdl:10419/243620 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
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