Electricity price forecasting using hybrid deep learned networks
Krishna Prakash N., Jai Govind Singh
| Year of publication: |
2023
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|---|---|
| Authors: | Prakash N., Krishna ; Singh, Jai Govind |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 42.2023, 7, p. 1750-1771
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| Subject: | day-ahead electricity price forecasting | empirical mode decomposition for day-ahead electricity price forecasting | hybrid deep neural networks for day-ahead electricity price forecasting | long short-term memory for day-ahead electricity price forecasting | maximal overlap discrete wavelet transform for day-ahead electricity price forecasting | Strompreis | Electricity price | Prognoseverfahren | Forecasting model | Prognose | Forecast | Neuronale Netze | Neural networks | Volatilität | Volatility | Elektrizitätswirtschaft | Electric power industry | Rohstoffderivat | Commodity derivative |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.2981 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014432756