Title | Productivity Prediction of a Geothermal System Using a LSTM Neural Network |
Author | Shi, Yu; Song, Xianzhi; Li, Gensheng |
Affiliation | Southwest Jiaotong University; China University of Petroleum |
PDF | yes - members only! |
Volume Title | Clean, Renewable and Always On |
Journal | Geothermal Resources Council Transactions |
Volume | 44 |
Pages | 944-954 |
Year | 2020 |
Publisher | Geothermal Resources Council |
Publication Place | Davis, California |
Subjects | Machine learning; Exploration; Feasibility studies |
Keywords | LSTM; sequential data; productivity prediction; MLP |
Document Type | Digital Collection |
Language | English |
GRC ID# | 1034264 |
Permalink | https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034264 |