Learning from learning machines: improving the predictive power of energy-water-land nexus models with insights from complex measured and simulated data

Autor:	James Brown, Michael Sohn, Utkarsh Mital, Dipankar Dwivedi, Haruko Wainwright, Carl Steefel, Eoin Brodie, William Collins, Daniel Jacobson, Michael Mahoney, Tianzhen Hong, Christoph Gehbauer, Doug Black, Thomas Kirchstetter, Daniel Arnold, Sean Peisert
Rok vydání:	2021
Předmět:	Computer science Simulated data Predictive power Nexus (standard) Industrial engineering Energy (signal processing)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::87e1616f01db601a57fab871dbb296e9 https://doi.org/10.2172/1769736 Zobrazit plný text záznamu