# Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/support-vector-regression-model-based-on-empirical-mode-decomposition-and-auto/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Guo‐Feng Fan,Shan Qing,Hua Wang,Wei‐Chiang Hong,Hongjuan Li |
| Citations | 125 |
| DOI | 10.3390/en6041887 |
| Fields | Decision Sciences,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1996-1073/6/4/1887/pdf?version=1426590748 |
| OpenAlex ID | https://openalex.org/W2156110830 |
| Type | article |
| Year | 2013 |

## Paper authors

- [Hua Wang](https://scholariq.org/researchers/hua-wang-2/)

## 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/)
- [Grey System Theory Applications](https://scholariq.org/topics/grey-system-theory-applications/)
- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)

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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.