# A meta-learning framework with temporal feature integration for electricity load forecasting

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-meta-learning-framework-with-temporal-feature-integration-for-electricity-load/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Rakesh,T. Pavankumar |
| Citations | 6 |
| DOI | 10.1186/s42162-025-00572-y |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://energyinformatics.springeropen.com/counter/pdf/10.1186/s42162-025-00572-y |
| OpenAlex ID | https://openalex.org/W4413790381 |
| Type | article |
| Year | 2025 |

## Paper authors

- [S. Rakesh](https://scholariq.org/researchers/s-rakesh/)

## 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/)
- [Time Series Analysis and Forecasting](https://scholariq.org/topics/time-series-analysis-and-forecasting/)
- [Image and Signal Denoising Methods](https://scholariq.org/topics/image-and-signal-denoising-methods/)

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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.