# A big data driven analytical framework for energy-intensive manufacturing industries

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-big-data-driven-analytical-framework-for-energy-intensive-manufacturing/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yingfeng Zhang,Shuaiyin Ma,Haidong Yang,Jingxiang Lv,Yang Liu |
| Citations | 225 |
| DOI | 10.1016/j.jclepro.2018.06.170 |
| Fields | Energy,Engineering,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150839 |
| OpenAlex ID | https://openalex.org/W2809067689 |
| Type | article |
| Year | 2018 |

## Paper authors

- [Yang Liu](https://scholariq.org/researchers/yang-liu-3/)

## Paper journal

- [Journal of Cleaner Production](https://scholariq.org/journals/journal-of-cleaner-production/)

## Paper primary topic

- [Energy Efficiency and Management](https://scholariq.org/topics/energy-efficiency-and-management/)

## Paper topics

- [Energy Efficiency and Management](https://scholariq.org/topics/energy-efficiency-and-management/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Environmental Impact and Sustainability](https://scholariq.org/topics/environmental-impact-and-sustainability/)

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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.