PlumX Metrics
Embed PlumX Metrics

Machine learning prediction of bio-oil production from the pyrolysis of lignocellulosic biomass: Recent advances and future perspectives

Journal of Analytical and Applied Pyrolysis, ISSN: 0165-2370, Vol: 179, Page: 106486
2024
  • 6
    Citations
  • 0
    Usage
  • 28
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    6
  • Captures
    28
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Studies from Korea Institute of Energy Research Add New Findings in the Area of Machine Learning (Machine Learning Prediction of Bio-oil Production From the Pyrolysis of Lignocellulosic Biomass: Recent Advances and Future Perspectives)

2024 JUN 11 (NewsRx) -- By a News Reporter-Staff News Editor at Energy Daily News -- Investigators publish new report on Machine Learning. According to

Review Description

Bio-oil produced through pyrolysis of lignocellulosic biomass has recently received significant attention due to its possible uses as a second-generation biofuel. The yield and characteristics of produced bio-oil are affected by reaction conditions and the type of feedstock that is used. Recently, machine learning (ML) techniques have been widely employed to forecast the performance of the pyrolysis and the characteristics of bi-oil. In this study, a comprehensive review of ML research on bio-oil has been carried out. Regression methods were most frequently employed to build prediction models and the top five ML methods for bio-oil research were random forest, artificial neural network, gradient boosting, support vector regression, and linear regression. The prediction results through the developed models were quite consistent with experiment results. However, studies to data have had limitations such as the used of restricted data, extraction features using their own knowledge, and limited used of ML algorithms. We highlighted the challenges and potential of cutting-edge ML techniques in bio-oil production.

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know