# An embedded deep-clustering-based load profiling framework

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/an-embedded-deep-clustering-based-load-profiling-framework/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Elham Eskandarnia,Hesham Al-Ammal,Riadh Ksantini |
| Citations | 56 |
| DOI | 10.1016/j.scs.2021.103618 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4200523850 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Riadh Ksantini](https://scholariq.org/researchers/riadh-ksantini/)

## Paper primary topic

- [Smart Grid Energy Management](https://scholariq.org/topics/smart-grid-energy-management/)

## Paper topics

- [Smart Grid Energy Management](https://scholariq.org/topics/smart-grid-energy-management/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [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.