A hybrid machine learning model for forecasting a billing period’s peak electric load days
Harshit Saxena, Omar Aponte, Katie T. McConky
| Year of publication: |
2019
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|---|---|
| Authors: | Saxena, Harshit ; Aponte, Omar ; McConky, Katie T. |
| Published in: |
International journal of forecasting. - Amsterdam [u.a.] : Elsevier, ISSN 0169-2070, ZDB-ID 283943-X. - Vol. 35.2019, 4, p. 1288-1303
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| Subject: | ARIMA models | Combining forecasts | Demand forecasting | Energy forecasting | Neural Networks | Regression | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Energieprognose | Energy forecast | Prognose | Forecast | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | ARMA-Modell | ARMA model | Nachfrage | Demand |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijforecast.2019.03.025 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012305279