| Title | Unsupervised Machine Learning to discover attributes that characterize low, moderate, and high-temperature geothermal resources |
| Author | Vesselinov, Velimir V.; Ahmmed, Bulbul; Mudunuru, Maruti K. |
| Affiliation | Los Alamos National Laboratory |
| PDF | no |
| Volume Title | Clean, Renewable and Always On |
| Journal | Geothermal Resources Council Transactions |
| Volume | 44 |
| Pages | 1363 |
| Year | 2020 |
| Publisher | Geothermal Resources Council |
| Publication Place | Davis, California |
| Subjects | Machine learning; Low temperature reservoirs; Moderate temperature reservoirs; High temperature reservoirs |
| Document Type | Digital Collection |
| Language | English |
| Note | Abstract only |
| GRC ID# | 1034361 |
| Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034361 |