Lecture: Energy forecasting based on predictive data mining techniques in smar...

Master data
Title: Energy forecasting based on predictive data mining techniques in smart energy grids
Description:
Keywords:
Type: Poster presentation
Homepage: -
Event: 7th DACH+ Conference on Energy Informatics (Oldenburg)
Date: 12.10.2018
lecture status: stattgefunden (Präsenz)

Participants
Ekanki Sharma
Ekanki.Sharma@aau.at
Research activities
To visiting card
(internal)
  • Author
  • Speaker

Assignment
Organisation Address
Fakultät für Technische Wissenschaften
  Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation
Subject areas
  • 211908 - Energy research
  • 2020 - Electrical Engineering, Electronics, Information Engineering
  • 207106 - Renewable energy
Research Cluster
  • Energy management and technology
Focus of lecture
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
Group of participants
  • Mainly international
Published?
  • Yes
working groups
  • Smart Grids Group

Cooperations
No partner organisations selected