Kinetic model derived from machine learning for accurate prediction of microalgal hydrogen production via conversion from low thermally pre-treated palm kernel expeller waste

• Main Authors: Ahmad Sobri, M.Z., Khoo, K.S., Sahrin, N.T., Ardo, F.M., Ansar, S., Hossain, M.S., Kiatkittipong, W., Lin, C., Ng, H.-S., Zaini, J., Bilad, M.R., Lam, M.K., Lim, J.W.
• Format: Article
• Published: Elsevier Ltd 2023
• Online Access: http://scholars.utp.edu.my/id/eprint/37330/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165983478&doi=10.1016%2fj.chemosphere.2023.139526&partnerID=40&md5=2c0dc6ca4fc905ff744d7288d3294f38

The depletion of fossil fuel sources and increase in energy demands have increased the need for a sustainable alternative energy source. The ability to produce hydrogen from microalgae is generating a lot of attention in both academia and industry. Due to complex production procedures, the commercia...