# Artificial humming bird with data science enabled stability prediction model for smart grids

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-humming-bird-with-data-science-enabled-stability-prediction-model-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S Raghavendra,S. Neelakandan,M. Prakash,B. T. Geetha,S. Mary Rexcy Asha,Michaelraj Kingston Roberts |
| Citations | 34 |
| DOI | 10.1016/j.suscom.2022.100821 |
| Fields | Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4308566892 |
| Type | article |
| Year | 2022 |

## Paper authors

- [S Raghavendra](https://scholariq.org/researchers/s-raghavendra/)

## 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/)
- [Smart Grid Energy Management](https://scholariq.org/topics/smart-grid-energy-management/)
- [Electricity Theft Detection Techniques](https://scholariq.org/topics/electricity-theft-detection-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.