Machine learning for energy-water nexus: challenges and opportunities
Modeling the interactions of water and energy systems is important to the enforcement of infrastructure security and system sustainability. To this end, recent technological advancement has allowed the production of large volumes of data associated with functioning of these sectors. We are beginning...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2018-07-01
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| Series: | Big Earth Data |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/20964471.2018.1526057 |