# A novel method based on time series ensemble model for hourly photovoltaic power prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-method-based-on-time-series-ensemble-model-for-hourly-photovoltaic-power/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zenan Xiao,Xiaoqiao Huang,Jun Liu,Chengli Li,Yonghang Tai |
| Citations | 100 |
| DOI | 10.1016/j.energy.2023.127542 |
| Fields | Computer Science,Energy,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4366519532 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Chengli Li](https://scholariq.org/researchers/chengli-li/)
- [Yonghang Tai](https://scholariq.org/researchers/yonghang-tai/)

## Paper journal

- [Energy](https://scholariq.org/journals/energy/)

## Paper primary topic

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

## Paper topics

- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Solar Radiation and Photovoltaics](https://scholariq.org/topics/solar-radiation-and-photovoltaics/)
- [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.