[HTML][HTML] Optimizing IC engine efficiency: A comprehensive review on biodiesel, nanofluid, and the role of artificial intelligence and machine learning

MEM Soudagar, S Shelare, D Marghade… - Energy Conversion and …, 2024 - Elsevier
Transportation and power generation have historically relied upon Internal Combustion
Engines (ICEs). However, because of environmental impact and inefficiency, considerable …

Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

A Velidandi, PK Gandam, ML Chinta… - Journal of Energy …, 2023 - Elsevier
Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

Optimizing biodiesel production from abundant waste oils through empirical method and grey wolf optimizer

OD Samuel, MO Okwu, OJ Oyejide, E Taghinezhad… - Fuel, 2020 - Elsevier
The failure of classical techniques and algorithms have triggered researchers to search for
stochastic tools capably of exploring the search space with constant convergence speed …

[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

NB Ishola, EI Epelle, E Betiku - Energy Conversion and Management: X, 2024 - Elsevier
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

[HTML][HTML] Genetic algorithm approach to design of multi-layer perceptron for combined cycle power plant electrical power output estimation

I Lorencin, N Anđelić, V Mrzljak, Z Car - Energies, 2019 - mdpi.com
In this paper a genetic algorithm (GA) approach to design of multi-layer perceptron (MLP) for
combined cycle power plant power output estimation is presented. Dataset used in this …

Agricultural biomass waste to biochar: A review on biochar applications using machine learning approach and circular economy

P Rex, KR Mohammed Ismail… - ChemEngineering, 2023 - mdpi.com
Biochar has gained attention as an alternative source of solid energy and for the proper
disposal of agricultural biomass waste (ABW). Microwave-assisted pyrolysis (MAP) is a …

Progress in pyrolysis conversion of waste into value-added liquid pyro-oil, with focus on heating source and machine learning analysis

S Ge, Y Shi, C **a, Z Huang, M Manzo, L Cai… - Energy conversion and …, 2021 - Elsevier
This work emphases the influence of using different heating sources (direct thermal, solar,
infrared, microwave heating) on the pyro-oil yield. The effect of the dominating process …

[HTML][HTML] An artificial intelligence approach to model and optimize biodiesel production from used cooking oil using CaO incorporated zeolite catalyst

AS Yusuff, NB Ishola, AO Gbadamosi, TM Azeez… - Energy Conversion and …, 2023 - Elsevier
The current work investigated the possibility of employing chicken eggshell-zeolite
composite as a cheap and recyclable heterogeneous catalyst for used cooking oil (UCO) …