Quality analysis of machine learning methods applied to the geothermal potential assessment: a case study-Reference-Cited by-同舟云学术

Quality analysis of machine learning methods applied to the geothermal potential assessment: a case study

Published:2023-12-13 Issue:1 Volume:46 Page:854-871
ISSN:1556-7036
Container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
language:en
Short-container-title:Energy Sources, Part A: Recovery, Utilization, and Environmental Effects

Author:

Cheng Xianggang¹²^ORCID,Qiao Wei¹^ORCID,Hu Dongqiang³^ORCID,Qi Zhilong⁴,Feng Peichao¹^ORCID,Tinti Francesco²^ORCID

Affiliation:

1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, Jiangsu, China

2. Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, Bologna, Italy

3. School of Mining Engineering and Geology, Xinjiang Institute of Engineering, Urumqi, Xinjiang, China

4. First Brigade of Hydrological Engineering Geology, Xinjiang Bureau of Geo-Exploration & Mineral Development, Urumqi, Xinjiang, China

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Informa UK Limited

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Link

Reference54 articles.