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 | yes - click here! |
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 |