# Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hourly-forecasting-of-solar-irradiance-based-on-ceemdan-and-multi-strategy-cnn/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bixuan Gao,Xiaoqiao Huang,Junsheng Shi,Yonghang Tai,Jun Zhang |
| Citations | 369 |
| DOI | 10.1016/j.renene.2020.09.141 |
| Fields | Computer Science,Decision Sciences,Engineering |
| Open Access | true |
| OA Status | green |
| OA URL | https://figshare.com/articles/journal_contribution/Hourly_forecasting_of_solar_irradiance_based_on_CEEMDAN_and_multi-strategy_CNN-LSTM_neural_networks/20580096 |
| OpenAlex ID | https://openalex.org/W3090232294 |
| Type | article |
| Year | 2020 |

## Paper authors

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

## 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/)
- [Grey System Theory Applications](https://scholariq.org/topics/grey-system-theory-applications/)

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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.