# An explainable AI for green hydrogen production: A deep learning regression model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-explainable-ai-for-green-hydrogen-production-a-deep-learning-regression-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rania Ahmed,Sara A. Shehab,Omar M. Elzeki,Ashraf Darwish,Aboul Ella Hassanein |
| Citations | 35 |
| DOI | 10.1016/j.ijhydene.2024.08.064 |
| Fields | Energy,Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4401648791 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ashraf Darwish](https://scholariq.org/researchers/ashraf-darwish/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Hybrid Renewable Energy Systems](https://scholariq.org/topics/hybrid-renewable-energy-systems/)
- [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.