Repository logo

AI Applications to Power Systems

aut.publication.placeSwitzerlanden_NZ
aut.researcherLie, Tek
dc.contributor.authorLie, Tek Tjingen_NZ
dc.date.accessioned2022-06-01T03:05:52Z
dc.date.available2022-06-01T03:05:52Z
dc.date.copyright2022-03-30en_NZ
dc.date.issued2022-03-30en_NZ
dc.description.abstract[Summary] Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.
dc.identifier.citationLie, T T. (2022). AI Applications to Power Systems. MDPI. https://www.mdpi.com/books/pdfview/book/5264
dc.identifier.doi10.3390/books978-3-0365-3654-5
dc.identifier.isbn978-3-0365-3654-5en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/15181
dc.publisherMDPIen_NZ
dc.relation.urihttps://www.mdpi.com/books/reprint/5264-ai-applications-to-power-systems
dc.rightsCC BY-NC-ND Creative Commons Attribution Non Commercial No Derivatives
dc.rights© 2022 by the authors
dc.rights.accessrightsOpenAccessen_NZ
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleAI Applications to Power Systemsen_NZ
dc.typeBook
pubs.elements-id453103
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
AI_Applications_to_Power_Systems.pdf
Size:
22.3 MB
Format:
Adobe Portable Document Format
Description:
Book - Special issue

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
AUT Grant of Licence for Tuwhera Jun 2021.pdf
Size:
360.95 KB
Format:
Adobe Portable Document Format
Description: