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Deep learning-based load forecasting considering data reshaping using MATLAB\Simulink

Load forecasting is a nonlinear problem and complex task that plays a key role in power system planning, operation, and control. A recent study proposed a deep learning approach called historical data augmentation (HDA) to improve the accuracy of the load forecasting model by dividing the input data...

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Detalles Bibliográficos
Autores principales: Hamad, Zhalla, Abdulrahman, Ismael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852887/
http://dx.doi.org/10.1007/s40095-022-00480-x