Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., and Lindsey, Cary R. When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates. Retrieved from https://par.nsf.gov/biblio/10434721. Geothermics 110.C Web. doi:10.1016/j.geothermics.2023.102662.

Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., & Lindsey, Cary R. When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates. Geothermics, 110 (C). Retrieved from https://par.nsf.gov/biblio/10434721. https://doi.org/10.1016/j.geothermics.2023.102662

Mordensky, Stanley P., Lipor, John J., DeAngelo, Jacob, Burns, Erick R., and Lindsey, Cary R. "When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates". Geothermics 110 (C). Country unknown/Code not available. https://doi.org/10.1016/j.geothermics.2023.102662. https://par.nsf.gov/biblio/10434721.

@article{osti_10434721,
place = {Country unknown/Code not available}, title = {When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates}, url = {https://par.nsf.gov/biblio/10434721}, DOI = {10.1016/j.geothermics.2023.102662}, abstractNote = {}, journal = {Geothermics}, volume = {110}, number = {C}, author = {Mordensky, Stanley P. and Lipor, John J. and DeAngelo, Jacob and Burns, Erick R. and Lindsey, Cary R.}, }