Spatial‐temporal learning structure for short‐term load forecasting-Reference-Cited by-同舟云学术

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Spatial‐temporal learning structure for short‐term load forecasting

Published:2022-12 Issue:2 Volume:17 Page:427-437
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Ganjouri Mahtab¹^ORCID,Moattari Mazda¹²^ORCID,Forouzantabar Ahmad¹^ORCID,Azadi Mohammad²³^ORCID

Affiliation:

1. Department of Electrical Engineering, Marvdasht Branch Islamic Azad University Marvdasht Iran

2. Department of Engineering, Mechatronic and Artificial Intelligence Research Center, Marvdasht Branch Islamic Azad University Marvdasht Iran

3. Department of Engineering, Marvdasht Branch Islamic Azad University Marvdasht Iran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12684

Reference42 articles.

1. Droop Method Development for Microgrids Control Considering Higher Order Sliding Mode Control Approach and Feeder Impedance Variation

2. Distributed Generation Control Using Modified PLL Based on Proportional-Resonant Controller

3. Short‐term load forecasting using a graph‐based deep learning structure;Ganjouri M.;J. Novel Res. Electr. Power,2021

4. Probability density function forecasting of residential electric vehicles charging profile

5. Probability density function forecasting of electricity price: Deep gabor convolutional mixture network

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