Random Forest - Methodology 🌲
This post explains how Random Forest works, step by step. It covers bootstrap sampling, random feature selection, decision tree growth, and aggregation.
This post explains how Random Forest works, step by step. It covers bootstrap sampling, random feature selection, decision tree growth, and aggregation.
This post explains how Support Vector Machines (SVM and SVR) work, from the hyperplane concept and the kernel trick to the epsilon-insensitive tube used in regression.
In this post, I will guide you through creating a Flappy Bird game, originally developed by Vietnamese creator Dong Ha NGUYEN. In part 2, I will explain a simple Aritifical Neural Network (ANN) model to make Flappy Bird A.I.
In this part 2, I will explain a simple Aritifical Neural Network (ANN) model to make Flappy Bird A.I.
K‑Nearest Neighbors (KNN) is a simple, non‑parametric machine learning algorithm that makes predictions based on the labels of the closest data points in the training set. It is supervised (it needs labeled examples) and can be used for both classification and regression tasks.”
This post demonstrates how to model wind turbine power using KNN regression with simulated wind-farm data.
This is my 1st post about Machine Learning (ML). This is a topic I learnt from the book “An Introduction to Statistical Learning”.
In this first post of wind energy, I will walk you through the IEA Task 19 - Icing events classifcation and and power loss calculation…
In this first post of wind energy, I will walk you through the topic icing formation. In the cold climate regions, icing on wind turbines is significant problem, impacting both performance and physical reliability…
Guideline for studying exam
Offshore wind farms become larger and wind turbines become higher and higher every year. And they stir up the air and change how low clounds form over the ocean.
Short description of portfolio item number 1
Short description of portfolio item number 2 
Operational planning, sizing, and optimization assignment for Université de Liège; my favorite DENSYS course that sparked my love for programming!
Case-Based Module: Evaluating algae-derived Sustainable Aviation Fuel (SAF) pathways; comprehensive study for aviation decarbonization.
Comparative analysis of biomass-to-liquid conversion pathways for sustainable fuels; multi-criteria evaluation and scenario modeling.
Integrated LCA-ML framework achieving 12,600× computational acceleration for rapid environmental optimization of North Sea offshore wind turbines.
Repowering feasibility study replacing three aging Vestas V44-600 turbines with single modern V82-1.65 MW turbine, achieving 33% energy increase and 38% LCOE reduction.
Feasibility study of 120 kW SOFC system achieving 116.88 kW net output with 16.33-year payback for Novara WWTP biogas valorization.
Published in International Journal of Hydrogen Energy, 2024
Techno-economic comparison of export pathways and energy carriers for large-scale hydrogen export from Vietnam to Asia.
Recommended citation: Dang-Chuong Ta; Thanh-Hoang Le; Hoang-Luong Pham. (2024). "An Assessment of the Potential for Large-Scale Hydrogen Export from Vietnam to Asian Countries: Techno-Economic Analysis, Transport Options, and Energy Carrier Comparison." International Journal of Hydrogen Energy, Impact Factor: 8.3. [10.1016/j.ijhydene.2024.04.033](https://doi.org/10.1016/j.ijhydene.2024.04.033)
Published in Energy Conversion and Management, 2025
Feasibility study of hydrogen co-firing in Vietnam’s gas power plants for the period 2035–2050, analyzing technical and economic impacts.
Recommended citation: Dang-Chuong Ta; Thanh-Hoang Le; Long Van Phan; Hoang-Luong Pham. (2025). "Feasibility Analysis of Hydrogen Co-Firing in Vietnam’s Gas Power Plants for the Period 2035–2050." Energy Conversion and Management, Impact Factor: 10.9. [10.1016/j.enconman.2025.120192](https://doi.org/10.1016/j.enconman.2025.120192)
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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