Electrical load forecasting to plan the increase in renewable energy sources and electricity demand : a CNN-QR-RTCF and deep learning approach
Wellcome Peujio Jiotsop-Foze, Adrián Hernández-del-Valle, Francisco Venegas-Martínez
| Year of publication: |
2024
|
|---|---|
| Authors: | Jiotsop-Foze, Wellcome Peujio ; Hernández-del-Valle, Adrián ; Venegas-Martínez, Francisco |
| Published in: |
International Journal of Energy Economics and Policy : IJEEP. - Mersin : EconJournals, ISSN 2146-4553, ZDB-ID 2632577-9. - Vol. 14.2024, 4, p. 186-194
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| Subject: | Convolutional Neural Networks | Deep Learning | Electric Load Forecasting | Quantile Regression | Rainbow Technique for Categorical Features | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Elektrizität | Electricity | Elektrizitätswirtschaft | Electric power industry | Erneuerbare Energie | Renewable energy | Energiekonsum | Energy consumption | Strompreis | Electricity price |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.32479/ijeep.15773 [DOI] hdl:11159/701062 [Handle] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014635888