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 …

[HTML][HTML] A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making

I Kaya, M Çolak, F Terzi - Energy Strategy Reviews, 2019 - Elsevier
Energy policy making is one of the most significant issues for countries and it can be
evaluated by using multi-criteria decision making (MCDM) methods. The energy decision …

An overview of multi-criteria decision-making methods in dealing with sustainable energy development issues

I Siksnelyte, EK Zavadskas, D Streimikiene, D Sharma - Energies, 2018 - mdpi.com
The measurement of sustainability is actively used today as one of the main preventative
instruments in order to reduce the decline of the environment. Sustainable decision-making …

Evaluating the feasibility of blockchain in logistics operations: A decision framework

IM Ar, I Erol, I Peker, AI Ozdemir, TD Medeni… - Expert Systems with …, 2020 - Elsevier
The main purpose of this study is to investigate the feasibility of blockchain technology in
logistics industry using a quantitative approach. To this end, a decision framework is …

Simultaneous evaluation of criteria and alternatives (SECA) for multi-criteria decision-making

M Keshavarz-Ghorabaee, M Amiri, EK Zavadskas… - …, 2018 - content.iospress.com
In the discrete form of multi-criteria decision-making (MCDM) problems, we are usually
confronted with a decision-matrix formed from the information of some alternatives on some …

Renewable energy problems: Exploring the methods to support the decision-making process

PD Rigo, G Rediske, CB Rosa, NG Gastaldo, L Michels… - Sustainability, 2020 - mdpi.com
In the current scenario of increasing energy demand and encouraging sustainable
development in countries, the energy sector's planning has become more complex …

Site selection decision framework using fuzzy ANP-VIKOR for large commercial rooftop PV system based on sustainability perspective

Y Wu, B Zhang, C Xu, L Li - Sustainable cities and society, 2018 - Elsevier
Abstract The Large Commercial Rooftop Photovoltaic System (LCRPS) projects have been
rapidly proposed in China due to policy promotion towards sustainability. Site selection …

Improvements of performance and emission characteristics of a diesel engine fueled with diesel/PODE3/n-butanol blended fuels by RSM-NSGA III in plateau …

S Gao, Y Ye, D Tan, G Jia, B Zhang, H Liu, D Li… - Process Safety and …, 2024 - Elsevier
In order to reduce the pollutant emission and improve the performance characteristics, the
RSM-NSGA III-TOPSIS optimization method was used to optimize a diesel engine fueled …

[HTML][HTML] Experimental investigation of multi-additive fuel blend and its optimization for CI engine performance and emissions by the hybrid Taguchi-TOPSIS technique

AR Patil, D Kakati, B Singh, MA Rosen, R Patil… - Case Studies in Thermal …, 2024 - Elsevier
In recent years, the critical stage of air pollution and government stringent emission norms
like Bharat Standard VI in 2020 in India and Euro VI in European countries, along with the …

Machine learning-based design of target property-oriented fuels using explainable artificial intelligence

Y Chen, Z Lu, H Liu, H Wang, Z Zheng, C Wang, X Sun… - Energy, 2024 - Elsevier
This study presents a machine learning (ML) and explainable artificial intelligence (XAI)
integrated framework to guide the experimental investigation of engine combustion toward …