| Title |
Digital Multi-Utility Data For Contemporaneous Water-Electricity-Gas End Use Categorization |
| ID_Doc |
20059 |
| Authors |
Nguyen K.; Stewart R.A.; Sahin O.; Bertone E.; Beal C.D.; Cominola A.; Zhang H.; Silva Vieira A. |
| Year |
2019 |
| Published |
Proceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019 |
| DOI |
http://dx.doi.org/10.1109/ICSGSC.2019.00-20 |
| Abstract |
The advent of advanced metering technologies combined with machine learning creates an opportunity to form digital multi-utility service providers. These service providers can concurrently collect a customers' water, electricity and gas demand data and provide phone and web applications to disseminate this information back to utility professionals and customers. Service companies that can provide inexpensive integrated systems will derive benefits such as operational synergies and access to mass markets not bounded by historical city, state or country limits. This article provides a vision of an integrated multi-utility service provider covering the system architecture, barriers and strategies, and opportunities and benefits. The focus of paper is to demonstrate the data modelling processes and informatics opportunities for contemporaneously collected water, electricity and gas demand data. Moreover, a transformative R&D framework is provided to realize this digital multi-utility future. © 2019 IEEE. |
| Author Keywords |
big data; digital metering; multi-utility; smart metering; water-energy nexus |
