Power consumption estimation using in-memory database computation
No Thumbnail Available
Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
OpenAIRE Downloads
OpenAIRE Views
Abstract
In order to efficiently predict electricity consumption, we need to improve both the speed and the reliability of computational environment. Concerning the speed, we use in-memory database, which is taught to be the best solution that allows manipulating data many times faster than the hard disk. © 2016 IEEE.
Description
Keywords
In-Memory Database, Machine Learning, Power Consumption
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
N/A
Scopus Q
N/A
Source
13th HONET-ICT International Symposium on Smart MicroGrids for Sustainable Energy Sources Enabled by Photonics and IoT Sensors, HONET-ICT 2016 -- 13th HONET-ICT International Symposium on Smart MicroGrids for Sustainable Energy Sources Enabled by Photonics and IoT Sensors, HONET-ICT 2016 -- 13 October 2016 through 14 October 2016 -- Haspolat, Nicosia -- 125073
Volume
Issue
Start Page
164
End Page
169