# Genetic programming prediction of the natural gas consumption in a steel plant

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/genetic-programming-prediction-of-the-natural-gas-consumption-in-a-steel-plant/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Miha Kovačić,Božidar Šarler |
| Citations | 61 |
| DOI | 10.1016/j.energy.2014.02.001 |
| Fields | Decision Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W1997591124 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Miha Kovačić](https://scholariq.org/researchers/miha-kovacic/)

## Paper journal

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

## Paper primary topic

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

## Paper topics

- [Grey System Theory Applications](https://scholariq.org/topics/grey-system-theory-applications/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-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.
