Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme-Reference-Cited by-同舟云学术

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Multivariable short-term electricity price forecasting using artificial intelligence and multi-input multi-output scheme

Published:2023-01 Issue: Volume:117 Page:106471
ISSN:0140-9883
Container-title:Energy Economics
language:en
Short-container-title:Energy Economics

Author:

Jiang Ping,Nie Ying,Wang Jianzhou,Huang Xiaojia

Funder

Major Program of National Fund of Philosophy and Social Science of China

Dongbei University of Finance and Economics

Publisher

Elsevier BV

Subject

General Energy,Economics and Econometrics

Reference60 articles.

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2. Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices;Brusaferri;Appl. Energy,2019

3. Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting;Catalão;IEEE Trans. Power Syst.,2011

4. A novel auto-regressive fractionally integrated moving average-least-squares support vector machine model for electricity spot prices prediction;Chaâbane;J. Appl. Stat.,2014

5. Biomedical Signal Processing and Control Improved complete ensemble EMD: A suitable tool for biomedical signal processing;Colominas;Biomed. Signal Proc. Control,2014

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