Adaptive Renewable Energy Forecasting Utilizing a Data-Driven PCA-Transformer Architecture
Author:
Affiliation:
1. Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
Funder
Deanship of Scientific Research at Imam Mohammad Ibn Saud Islamic University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10630473.pdf?arnumber=10630473
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4. Dynamic spatio-temporal graph network with adaptive propagation mechanism for multivariate time series forecasting
5. Transmission grids to foster high penetration of large-scale variable renewable energy sources—A review of challenges, problems, and solutions;Medina;Int. J. Renew. Energy Res. (IJRER),2022
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