Electricity consumption prediction using artificial intelligence
Tomaž Čegovnik, Andrej Dobrovoljc, Janez Povh, Matic Rogar, Pavel Tomšič
| Year of publication: |
2023
|
|---|---|
| Authors: | Čegovnik, Tomaž ; Dobrovoljc, Andrej ; Povh, Janez ; Rogar, Matic ; Tomšič, Pavel |
| Published in: |
Central European journal of operations research. - Heidelberg : Physica-Verl., ISSN 1613-9178, ZDB-ID 2093829-9. - Vol. 31.2023, 3, p. 833-851
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| Subject: | Accuracy | Electricity demand | Load forecasting | Neural network | Parallelization | Random forest | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Elektrizität | Electricity | Neuronale Netze | Neural networks | Energiekonsum | Energy consumption | Theorie | Theory | Prognose | Forecast | Energieprognose | Energy forecast | Nachfrage | Demand |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10100-023-00844-6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014326562