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Augmented and mixed reality based decision support tool for the integrated resource plan

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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


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