# Power Consumption Estimation in Data Centers Using Machine Learning Techniques

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/power-consumption-estimation-in-data-centers-using-machine-learning-techniques/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Emmanouil Karantoumanis,Νικόλαος Πλόσκας |
| Citations | 2 |
| DOI | 10.1007/978-3-030-53552-0_20 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3042667800 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Emmanouil Karantoumanis](https://scholariq.org/researchers/emmanouil-karantoumanis/)

## Paper journal

- [Lecture notes in computer science](https://scholariq.org/journals/lecture-notes-in-computer-science/)

## Paper primary topic

- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)

## Paper topics

- [Cloud Computing and Resource Management](https://scholariq.org/topics/cloud-computing-and-resource-management/)
- [Green IT and Sustainability](https://scholariq.org/topics/green-it-and-sustainability/)
- [IoT and Edge/Fog Computing](https://scholariq.org/topics/iot-and-edge-fog-computing/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.