dc.contributor.author |
Govender, Devashen
|
|
dc.contributor.author |
Moodley, Jayandren
|
|
dc.contributor.author |
Balmahoon, Reevana
|
|
dc.date.accessioned |
2021-11-25T07:19:50Z |
|
dc.date.available |
2021-11-25T07:19:50Z |
|
dc.date.issued |
2021-10 |
|
dc.identifier.citation |
Govender, D., Moodley, J. & Balmahoon, R. 2021. Augmented and mixed reality based decision support tool for the integrated resource plan. http://hdl.handle.net/10204/12172 . |
en_ZA |
dc.identifier.isbn |
978-1-6654-3554-3 |
|
dc.identifier.uri |
DOI: 10.1109/IECON48115.2021.9589454
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/12172
|
|
dc.description.abstract |
In today’s era, enormous amounts of data are generated and the means to visualize this data is becoming a challenge. Data visualization is an important support tool that allows one to make informed decisions. This paper attempts to provide a possible solution to this major challenge. The solution presented is a data analytic tool capable of visualizing complex data by leveraging the fourth industrial revolution technologies, augmented and mixed reality. Using the disruptive nature of these technologies, it could provide an application that is more intuitive and immersive to the end-user. Moreover, we focus the solution in the energy domain by exploring methods in enhancing energy data visualization to support decision-making of South Africa’s Integrated Resource Plan (IRP). |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/9589454 |
en_US |
dc.source |
47th Annual Conference of the IEEE Industrial Electronics Society (IES), online presentation, 13-16 October 2021 |
en_US |
dc.subject |
Augmented reality |
en_US |
dc.subject |
Data analysis |
en_US |
dc.subject |
Data visualization |
en_US |
dc.subject |
Integrated resource plan |
en_US |
dc.title |
Augmented and mixed reality based decision support tool for the integrated resource plan |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
6 |
en_US |
dc.description.note |
Copyright: 2021 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/9589454 |
en_US |
dc.description.cluster |
Next Generation Enterprises & Institutions |
en_US |
dc.description.impactarea |
Artificial Intelligence |
en_US |
dc.identifier.apacitation |
Govender, D., Moodley, J., & Balmahoon, R. (2021). Augmented and mixed reality based decision support tool for the integrated resource plan. http://hdl.handle.net/10204/12172 |
en_ZA |
dc.identifier.chicagocitation |
Govender, Devashen, Jayandren Moodley, and Reevana Balmahoon. "Augmented and mixed reality based decision support tool for the integrated resource plan." <i>47th Annual Conference of the IEEE Industrial Electronics Society (IES), online presentation, 13-16 October 2021</i> (2021): http://hdl.handle.net/10204/12172 |
en_ZA |
dc.identifier.vancouvercitation |
Govender D, Moodley J, Balmahoon R, Augmented and mixed reality based decision support tool for the integrated resource plan; 2021. http://hdl.handle.net/10204/12172 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Govender, Devashen
AU - Moodley, Jayandren
AU - Balmahoon, Reevana
AB - In today’s era, enormous amounts of data are generated and the means to visualize this data is becoming a challenge. Data visualization is an important support tool that allows one to make informed decisions. This paper attempts to provide a possible solution to this major challenge. The solution presented is a data analytic tool capable of visualizing complex data by leveraging the fourth industrial revolution technologies, augmented and mixed reality. Using the disruptive nature of these technologies, it could provide an application that is more intuitive and immersive to the end-user. Moreover, we focus the solution in the energy domain by exploring methods in enhancing energy data visualization to support decision-making of South Africa’s Integrated Resource Plan (IRP).
DA - 2021-10
DB - ResearchSpace
DP - CSIR
J1 - 47th Annual Conference of the IEEE Industrial Electronics Society (IES), online presentation, 13-16 October 2021
KW - Augmented reality
KW - Data analysis
KW - Data visualization
KW - Integrated resource plan
LK - https://researchspace.csir.co.za
PY - 2021
SM - 978-1-6654-3554-3
T1 - Augmented and mixed reality based decision support tool for the integrated resource plan
TI - Augmented and mixed reality based decision support tool for the integrated resource plan
UR - http://hdl.handle.net/10204/12172
ER -
|
en_ZA |
dc.identifier.worklist |
25043 |
en_US |