Work

Machine-learning-assisted high-temperature reservoir thermal energy storage optimization

Year: 2022

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2022.07.118

Authors: Wencheng Jin, Trevor A. Atkinson, Christine Doughty, Ghanashyam Neupane, Nicolas Spycher, Travis L. McLing, Patrick F. Dobson, Robert Smith, Robert Podgorney

Institutions: Idaho National Laboratory, Lawrence Berkeley National Laboratory, University of Idaho

Language: English

Topic: Geothermal Energy Systems and Applications

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: bronze

Funders: U.S. Department of Energy, Battelle, Office of Energy Efficiency and Renewable Energy, Office of Nuclear Energy, Idaho Operations Office, U.S. Department of Energy, Geothermal Technologies Office, Office of Energy Efficiency, Lawrence Berkeley National Laboratory

Awards: G1079818582, G1143651532, G127156130, G1286236842, G1291219643, G2293800358, G2710243964, G2873784832, G3083819904, G3439656048, G3892615724, G42916606, G4684869197, G594963403, G597354990, G7354628648, G8976365216, G969889393

OpenAlex ID: W4288738733

FWCI: 1.513

Cites: 55

Cited by: 45

Related to: 10