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All Journal Journal of Emerging Science and Engineering International Journal of Renewable Energy Development
Le, Ngoc Doanh
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Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science

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Analysis of weather and ship-type effects on fuel efficiency and emissions for green maritime operations Le, Ngoc Doanh; Pham, Nguyen Dang Khoa
Journal of Emerging Science and Engineering Vol. 3 No. 2 (2025)
Publisher : BIORE Scientia Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/jese.2025.e58

Abstract

This research is an endeavour to develop an explainable machine learning framework to quantify the combined effect of ship type, fuel type, distance and weather conditions affecting fuel consumption and CO2 emissions for green maritime operations. The data collected from the voyage-level records for various vessel categories was pre-processed and used to train three supervised regression models: Linear Regression, Random Forest, and Extreme Gradient Boosting (XGBoost). The models were tested based on the coefficient of determination (R2) and mean squared error for training and test data sets separately for fuel consumption and CO2 emission. Results show that all models are able to capture the main trends, but the Random Forest was able to provide the most accurate and robust predictions, with values of test R2 exceeding 0.94 and the lowest values of error for both target variables. In order to improve the interpretability, SHapley Additive exPlanations (SHAP) analysis and feature importance measures were used for the Random Forest models. Distance becomes the main factor, whereas ship type, fuel type, and weather variables have a secondary but significant impact on fuel consumption and emissions. The proposed approach offers a transparent and computationally efficient aid for supporting operational optimization, fuel choice evaluation, and policy design in the context of maritime decarbonization.
Assessing energy policy effectiveness in Vietnam using multi-criteria decision making Duong, Thi Thuc Anh; Le, Viet Khai; Le, Ngoc Doanh; Vu, Minh Thai; Nguyen, Tien Dat
International Journal of Renewable Energy Development Vol 15, No 3 (2026): May 2026
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2026.62318

Abstract

Vietnam's energy transition is strong, and therefore, Vietnam needs a policy framework appropriate to the current context to promote this sustainable transition. This study assesses energy policy alternatives in Vietnam in order to identify the best policy strategies for sustainable energy transition by using a hybrid Multi-Criteria Decision Making (MCDM) approach. The research basically applies a DEMATEL-VIKOR framework to discuss five policy alternatives: Renewable Energy Promotion (RP), Energy Efficiency and Demand-Side Management (EE&DSM), Grid Modernization (GM), Fossil Fuel Transition (FFT), and Institutional, Regulatory and Market Reform (IR). Seven criteria, from Economic Efficiency (EE) to Policy Consistency (PC), were used for evaluation. The analysis by DEMATEL points to the Institutional and Regulatory Effectiveness (IE) as being the most crucial causal driver with the highest prominence score of 3.84 and a net causality value of 0.53. These results give direct information to the VIKOR analysis, where IR (A5) is the best compromise solution with a perfect Q-index value of 0.00 and the lowest individual regret (R-index) value of 0.08. In comparison, Fossil Fuel Transition (FFT) ranked the worst with a Q-index of 1.00. Sensitivity analysis to prove the robustness of IR as the dominant policy for all decision-making parameters (v). The results have illustrated that the energy policy of Vietnam should place more emphasis on institutional strengthening and grid modernization (Q = 0.22) than stand-alone technological deployment to ensure a stable, efficient, and equitable energy transition.
Co-Authors Duong, Thi Thuc Anh Le, Viet Khai Nguyen, Tien Dat Pham, Nguyen Dang Khoa Vu, Minh Thai