A scoping review of deep neural networks for electric load forecasting
Abstract The increasing dependency on electricity and demand for renewable energy sources means that distributed system operators face new challenges in their grid. Accurate forecasts of electric load can solve these challenges. In recent years deep neural networks have become increasingly popular i...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2021-09-01
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Series: | Energy Informatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s42162-021-00148-6 |