Transfer learning for electricity price forecasting-Reference-Cited by-同舟云学术

Transfer learning for electricity price forecasting

Published:2023-06 Issue: Volume:34 Page:100996
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Gunduz Salih^ORCID,Ugurlu Umut^ORCID,Oksuz Ilkay

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference41 articles.

1. Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms;Lago;Appl. Energy,2018

2. Electricity price forecasting using recurrent neural networks;Ugurlu;Energies,2018

3. Electricity price forecasting: A review of the state-of-the-art with a look into the future;Weron;Int. J. Forecast.,2014

4. Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks;Ziel;Energy Econ.,2018

5. Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond;Hong,2016

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