Ultra-Short-Term Photovoltaic Power Interval Forecasting Based on Time-Series Decomposition and Conformal Quantile Regression
Traditional PV power interval forecasting relies on specific probabilistic distribution assumptions, which often result in inconsistencies between the assumed probability distributions and the actual heteroscedastic nature of PV power distributions, thus affecting the accuracy and confidence level o...
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| Main Authors: | Qianjin GUI, Wenfa XU, Xiaoyang LI, Lirong LUO, Haifeng YE, Zhengfeng WANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2025-05-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202411101 |
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