# A hybrid-extreme learning machine based ensemble method for online dynamic security assessment of power systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-extreme-learning-machine-based-ensemble-method-for-online-dynamic/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mukesh Singh,Sansar Singh Chauhan |
| Citations | 41 |
| DOI | 10.1016/j.epsr.2022.108923 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4307817441 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Sansar Singh Chauhan](https://scholariq.org/researchers/sansar-singh-chauhan/)

## Paper primary topic

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

## Paper topics

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Optimal Power Flow Distribution](https://scholariq.org/topics/optimal-power-flow-distribution/)
- [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.