Electrical load forecasting to plan the increase in renewable energy sources and electricity demand : a CNN-QR-RTCF and deep learning approach
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
|
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 |
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