Dataset: A Machine Learning Approach for Resource Mapping Analysis of Greenhouse Gas Removal Technologies

Files

SML GGR Modelling data.xlsx (59.86 KB)
SML GGR Modeling codes.pdf (108.82 KB)

Date published

2023-07-20

Free to read from

Authors

Odianosen Asibor, Jude
Clough, Peter
ali Nabavi, Seyed
Manovic, Vasilije

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Department

Type

Dataset

ISSN

Format

URI

https://dspace.lib.cranfield.ac.uk/handle/1826/21713
 https://doi.org/10.17862/cranfield.rd.21438129.v1

Citation

Asibor, Jude Odianosen; Clough, Peter; Nabavi, Seyed ali; Manovic, Vasilije (2023). Dataset: A Machine Learning Approach for Resource Mapping Analysis of Greenhouse Gas Removal Technologies. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.21438129

Abstract

Dataset posted on 2023-07-20, 16:33 authored by Jude Odianosen Asibor, Peter Clough, Seyed ali Nabavi, Vasilije Manovic It contains the normalised dataset and codes used for the titled study.

Description

Software Description

Software Language

Github

Keywords

'machine Learning Methods Enable Predictive Modeling', 'climate mitigation techniques', 'CCS Technology', forestation, 'BECCS Climate mitigation scenarios'

DOI

10.17862/cranfield.rd.21438129.v1

Rights

CC-BY-4,0

Relationships

https://doi.org/10.3390/en16062708

Relationships

Resources

Funder/s

Petroleum Technology Development Fund

Collections

Energy and Sustainability