# Forecasting renewable energy for microgrids using machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/forecasting-renewable-energy-for-microgrids-using-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Piyumi Sudasinghe,Damayanthi Herath,M. G. I. U. Karunarathne,Hansani Weeratunge,Lahiru Jayasuriya |
| Citations | 14 |
| DOI | 10.1007/s42452-025-06895-5 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://link.springer.com/content/pdf/10.1007/s42452-025-06895-5.pdf |
| OpenAlex ID | https://openalex.org/W4410057719 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Damayanthi Herath](https://scholariq.org/researchers/damayanthi-herath/)

## Paper journal

- [Discover Applied Sciences](https://scholariq.org/journals/discover-applied-sciences/)

## 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/)
- [Solar Radiation and Photovoltaics](https://scholariq.org/topics/solar-radiation-and-photovoltaics/)

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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.