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