Mining latent patterns with multi-scale decomposition for electricity demand and price forecasting using modified deep graph convolutional neural networks-Reference-Cited by-同舟云学术

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Mining latent patterns with multi-scale decomposition for electricity demand and price forecasting using modified deep graph convolutional neural networks

Published:2024-09 Issue: Volume:39 Page:101436
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Rawal Keerti^ORCID,Ahmad Aijaz

Publisher

Elsevier BV

Reference43 articles.

1. The february 2021 U.S. southwest power crisis;Shrestha;Electr. Power Syst. Res.,2023

2. Treatment of uncertainty for next generation power systems: State-of-the-art in stochastic optimization;Alqurashi;Electr. Power Syst. Res.,2016

3. Modeling forecasting errors of fluctuating renewables and electrical loads;Nobis,2019

4. Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach;Weron,2007

5. Applying load profiles propagation to machine learning based electrical energy forecasting;Bendaoud;Electr. Power Syst. Res.,2022

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