Machine learning prediction and analysis of commercial wood fuel blends used in a typical biomass power station

Morris, J., Daood, S. and Nimmo, W. orcid.org/0000-0001-5571-026X (2022) Machine learning prediction and analysis of commercial wood fuel blends used in a typical biomass power station. Fuel, 316. 123364. ISSN 0016-2361

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 Elsevier Ltd. This is an author produced version of a paper subsequently published in Fuel. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Biomass; waste wood; ash; random forest
Dates:
  • Accepted: 14 January 2022
  • Published (online): 29 January 2022
  • Published: 15 May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Sciences Research Council1941040
Depositing User: Symplectic Sheffield
Date Deposited: 25 Jan 2022 11:21
Last Modified: 29 Jan 2023 01:13
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.fuel.2022.123364

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