# A Novel Intelligent Forecasting Framework for Quarterly or Monthly Energy Consumption

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-intelligent-forecasting-framework-for-quarterly-or-monthly-energy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Chong Liu,Hegui Zhu,Yuchen Ren,Zhimu Wang |
| Citations | 20 |
| DOI | 10.1109/tii.2023.3330299 |
| Fields | Decision Sciences,Economics, Econometrics and Finance,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4389371296 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Yuchen Ren](https://scholariq.org/researchers/yuchen-ren/)

## 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/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)
- [Market Dynamics and Volatility](https://scholariq.org/topics/market-dynamics-and-volatility/)

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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.