# A hybrid deep learning framework integrating feature selection and transfer learning for multi-step global horizontal irradiation forecasting

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-deep-learning-framework-integrating-feature-selection-and-transfer/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Tong Niu,Jinkai Li,Wei Wei,Hui Yue |
| Citations | 41 |
| DOI | 10.1016/j.apenergy.2022.119964 |
| Fields | Computer Science,Energy,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.apenergy.2022.119964 |
| OpenAlex ID | https://openalex.org/W4296901416 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Jinkai Li](https://scholariq.org/researchers/jinkai-li/)

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

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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.