# Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/performance-evaluation-of-probabilistic-methods-based-on-bootstrap-and-quantile/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yuxin Wen,Donna AlHakeem,Paras Mandal,Shantanu Chakraborty,Yuan‐Kang Wu,Tomonobu Senjyu,Sumit Paudyal,Tzu-Liang Tseng |
| Citations | 110 |
| DOI | 10.1109/tnnls.2019.2918795 |
| Fields | Computer Science,Energy,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2955967879 |
| PMID | 31247566 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Tzu-Liang Tseng](https://scholariq.org/researchers/tzu-liang-tseng/)

## Paper journal

- [IEEE Transactions on Neural Networks and Learning Systems](https://scholariq.org/journals/ieee-transactions-on-neural-networks-and-learning-systems/)

## Paper primary topic

- [Solar Radiation and Photovoltaics](https://scholariq.org/topics/solar-radiation-and-photovoltaics/)

## Paper topics

- [Solar Radiation and Photovoltaics](https://scholariq.org/topics/solar-radiation-and-photovoltaics/)
- [Photovoltaic System Optimization Techniques](https://scholariq.org/topics/photovoltaic-system-optimization-techniques/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.