Rethinking weather station selection for electric load forecasting using genetic algorithms
Year of publication: |
2020
|
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Authors: | Moreno-Carbonell, Santiago ; Sánchez-Úbeda, Eugenio F. ; Muñoz, Antonio |
Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 36.2020, 2, p. 695-712
|
Subject: | Electric load forecasting | Energy demand | Weather station selection | Genetic algorithms | Cross-validation | Weather station combination | BFGS algorithm | Evolutionärer Algorithmus | Evolutionary algorithm | Wetter | Weather | Prognoseverfahren | Forecasting model | Elektrizitätswirtschaft | Electric power industry | Energiekonsum | Energy consumption | Energieprognose | Energy forecast | Algorithmus | Algorithm |
Description of contents: | Description [doi.org] |
Type of publication: | Article |
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Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Erratum enthalten in: International journal of forecasting, Volume 37, issue 3 (July/September 2021), Seite 1329-1330 |
Other identifiers: | 10.1016/j.ijforecast.2019.08.008 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
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