Neural network-based prediction interval estimation with large width penalization for renewable energy forecasting and system applications
Increasing the penetration of renewable energy introduces significant uncertainty into power systems. Probabilistic forecasting, which quantifies this uncertainty through prediction intervals (PIs), is essential for guiding a generation operating reserve preparation. The amount of standby generation...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259017452500251X |
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