A Comprehensive Analysis of Dropout Assisted Regularized Deep Learning Architectures for Dynamic Electricity Price Forecasting
As the world moves towards a sustainable future, there is a need for efficient integration of intermittent energy sources (IES) sources with intelligent energy grids. Electricity from IES (such as wind, solar, hydro, etc.) relies on various environmental factors and introduces significant uncertaint...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10756599/ |
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