Digital Energy Ecosystems. Issue 13 (2019)
- Record Type:
- Journal Article
- Title:
- Digital Energy Ecosystems. Issue 13 (2019)
- Main Title:
- Digital Energy Ecosystems
- Authors:
- Bakhtadze, N.
Pavlov, B.
Pyatetsky, V.
Suleykin, A - Abstract:
- Abstract: A conceptual approach to the development of a digital ecosystem using multi-agent technology and predictive models is presented with reference to electric power systems. Predictive models are based on data mining algorithms, wavelet analysis and the formation of knowledge bases.
- Is Part Of:
- IFAC-PapersOnLine. Volume 52:Issue 13(2019)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 52:Issue 13(2019)
- Issue Display:
- Volume 52, Issue 13 (2019)
- Year:
- 2019
- Volume:
- 52
- Issue:
- 13
- Issue Sort Value:
- 2019-0052-0013-0000
- Page Start:
- 30
- Page End:
- 35
- Publication Date:
- 2019
- Subjects:
- digital ecosystem -- intelligent predictive models -- data mining -- wavelet analysis -- knowledgebase
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2019.11.088 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23126.xml