Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest neighbors, and Artificial neural network models
Since fossil fuels are slowly depleting, bio and renewable energies are now given more attention. The main purpose of this research is to investigate and optimize the influencing parameters of bioenergy production through transesterification process. The application of artificial intelligence (AI) i...
Main Authors: | Hulin Jin, Yong-Guk Kim, Zhiran Jin, Anastasia Andreevna Rushchitc, Ahmed Salah Al-Shati |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722022697 |
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