[ { "title": "Page Not Found", "url": "/404.html", "excerpt": "" } ,{ "title": "Chuong Dang TA", "url": "/", "excerpt": "" } ,{ "title": "Categories", "url": "/categories/", "excerpt": "" } ,{ "title": "Posts by Collection", "url": "/collection-archive/", "excerpt": "" } ,{ "title": "Chuong Dang TA", "url": "/connect/", "excerpt": "" } ,{ "title": "Page not in menu", "url": "/non-menu-page/", "excerpt": "" } ,{ "title": "Page Archive", "url": "/page-archive/", "excerpt": "" } ,{ "title": "Sitemap", "url": "/sitemap/", "excerpt": "" } ,{ "title": "Keywords", "url": "/tags/", "excerpt": "" } ,{ "title": "Terms and Privacy Policy", "url": "/terms/", "excerpt": "" } ,{ "title": "An Assessment of the Potential for Large-Scale Hydrogen Export from Vietnam to Asian Countries: Techno-Economic Analysis, Transport Options, and Energy Carrier Comparison", "url": "/publications/1st%20Publication%2025%20July%202024/", "excerpt": "Techno-economic comparison of export pathways and energy carriers for large-scale hydrogen export from Vietnam to Asia." } ,{ "title": "Feasibility Analysis of Hydrogen Co-Firing in Vietnam’s Gas Power Plants for the Period 2035–2050", "url": "/publications/2nd%20Publication%2025%20July%202025/", "excerpt": "Feasibility study of hydrogen co-firing in Vietnam’s gas power plants for the period 2035–2050, analyzing technical and economic impacts." } ,{ "title": "Publications", "url": "/publications/", "excerpt": "All of the journal papers which I have contributed to are freely available on this website. If you have trouble accessing any papers related to..." } ,{ "title": "Machine Learning-Enhanced Life Cycle Assessment of Offshore Wind Farms ♻️💻", "url": "/WindEnergy/LCA_offshore_wind/", "excerpt": "Integrated LCA-ML framework achieving 12,600× computational acceleration for rapid environmental optimization of North Sea offshore wind turbines." } ,{ "title": "Icing formation in Wind turbines in Cold climate region (part 1)", "url": "/WindEnergy/Icing_formation.md/", "excerpt": "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..." } ,{ "title": "Icing formation in Wind turbines in Cold climate region (part 2) - IEA Task 19", "url": "/WindEnergy/IEA_T19.md/", "excerpt": "In this first post of wind energy, I will walk you through the IEA Task 19 - Icing events classifcation and and power loss calculation......" } ,{ "title": "Wind Energy", "url": "/WindEnergy/", "excerpt": "This page gathers all my posts related to wind energy, covering topics I find particularly interesting—ranging from atmospheric physics and forecasting to power systems and..." } ,{ "title": "Wind and Ocean Energy Plants course at Polito", "url": "/WindEnergy/Wind_course_at_polito.md/", "excerpt": "Guideline for studying exam" } ,{ "title": "How offshore wind farms and clouds interact (Part 1)", "url": "/WindEnergy/Wind_farms_and_clound_interact.md/", "excerpt": "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..." } ,{ "title": "Probabilistic Electricity Price Forecasting (Part 2)", "url": "/EnergyForecasting/PEPF_part2/", "excerpt": "Implementing Quantile Regression and Quantile Regression Forest for DK1 day-ahead prices, evaluated with walk-forward cross-validation: real code, real results, and what changes once a single..." } ,{ "title": "Probabilistic Electricity Price Forecasting (Part 3)", "url": "/EnergyForecasting/PEPF_part3/", "excerpt": "Bootstrapped residuals for DK1 day-ahead prices: in-sample vs out-of-sample residuals, binning by predicted value, and multiple interval levels, adapted from skforecast's bootstrapped-residuals guide and evaluated..." } ,{ "title": "Stochastic Optimisation for Energy Storage (Part 1)", "url": "/EnergyForecasting/StochasticOptimisation_part1/", "excerpt": "From deterministic to stochastic decision-making: two-stage and multi-stage stochastic programs, common solution approaches, and why battery storage scheduling needs to account for uncertain prices, demand,..." } ,{ "title": "Stochastic Optimisation for Energy Storage (Part 2)", "url": "/EnergyForecasting/StochasticOptimisation_part2/", "excerpt": "A working two-stage stochastic battery dispatch model, solved in Pyomo, with scenarios built from real quantile forecasts instead of hand-picked historical days. Compared against a..." } ,{ "title": "Introduction to Wave Energy", "url": "/EnergyForecasting/Wave_Energy/Introduction_of_Wave_Energy/", "excerpt": "Why ocean waves are a large, steady, low-emission energy resource, the physics that governs them, the eight main types of wave energy converter, and how..." } ,{ "title": "Ocean Wave Energy Flux Forecasting using LightGBM (Part 1)", "url": "/EnergyForecasting/Wave_Energy/Wave_Energy_Flux_Forecasting_part1/", "excerpt": "Forecasting significant wave height and mean wave period 1 to 48 hours ahead with LightGBM on ERA5 ocean reanalysis data off northern Portugal, then combining..." } ,{ "title": "Ocean Wave Energy Flux Forecasting: A Stacking Ensemble (Part 2)", "url": "/EnergyForecasting/Wave_Energy/Wave_Energy_Flux_Forecasting_part2/", "excerpt": "Stacking Ridge Regression, Random Forest, and LightGBM with a ridge meta-model to forecast significant wave height and mean wave period, and checking whether it recovers..." } ,{ "title": "Ocean Wave Energy Flux Forecasting: Probabilistic Forecasting (Part 3)", "url": "/EnergyForecasting/Wave_Energy/Wave_Energy_Flux_Forecasting_part3/", "excerpt": "Transitioning from point forecasts to probabilistic predictions. Comparing Quantile Regression (QR), Quantile Regression Forest (QRF), and Bootstrapped Residuals to estimate uncertainty in wave height and..." } ,{ "title": "Heat Pump Digital Twins: Modeling and Hybrid State Estimation", "url": "/EnergyForecasting/RL_heat_pump/HeatPump_DigitalTwin/", "excerpt": "An introduction to heat pump technologies, thermodynamic cycles, coefficient of performance (COP), and building physical-informed digital twins." } ,{ "title": "Smart Heat Pump Control: Reinforcement Learning and Digital Twins", "url": "/EnergyForecasting/RL_heat_pump/HeatPump_Storage_Environment/", "excerpt": "Building a custom Gym environment for smart heat pump control with thermal storage using Stockholm temperature data and ENTSO-E day-ahead electricity prices." } ,{ "title": "Self-Directed Learning: Renewables in Electricity Markets", "url": "/EnergyForecasting/Renewable_in_Electriicy_Market_Course/", "excerpt": "Study notes on market structures, pricing mechanisms, day-ahead clearing, intraday trading, balancing markets, and offering strategies." } ,{ "title": "Fundamental of Electricity Markets (Part 1)", "url": "/EnergyForecasting/Structure_of_Electricity_Market/Electricity_Market_Part1/", "excerpt": "Introduction to electricity market design, demand/supply curves, marginal utility, equilibrium pricing, and social surplus." } ,{ "title": "Operational LLM AI-Agent for Energy Community BESS Management", "url": "/EnergyForecasting/AI_Agent_Development_in_BESS/", "excerpt": "A conceptual architecture and a working prototype for an LLM-based agent that advises on battery dispatch: day-ahead price forecasting with LightGBM, BESS sizing and scheduling..." } ,{ "title": "Energy Forecasting", "url": "/EnergyForecasting/", "excerpt": "This page gathers projects and articles focusing on mathematical modeling and machine learning applications for forecasting energy systems, including probabilistic electricity price forecasting, load forecasting,..." } ,{ "title": "Probabilistic Electricity Price Forecasting (Part 1)", "url": "/EnergyForecasting/PEPF_part1/", "excerpt": "An introduction to probabilistic electricity price forecasting: the European and Danish power markets, quantiles and prediction intervals, Quantile Regression and Quantile Regression Forest, and evaluation..." } ,{ "title": "Algae-Based Biofuel for Sustainable Aviation (CBM Module)", "url": "/MscProjects/Algae_Biofuel/", "excerpt": "Case-Based Module: Evaluating algae-derived Sustainable Aviation Fuel (SAF) pathways; comprehensive study for aviation decarbonization." } ,{ "title": "Liège Projects", "url": "/MscProjects/Liege_Projects/", "excerpt": "Operational planning, sizing, and optimization assignment for Université de Liège; my favorite DENSYS course that sparked my love for programming!" } ,{ "title": "Biomass-to-Liquid Conversion Pathways", "url": "/MscProjects/Biomass_to_Liquid/", "excerpt": "Multi-criteria evaluation and future deployment scenario modeling of biomass-to-liquid (BtL) conversion technologies." } ,{ "title": "Techno-Economic Analysis of Biogas-Fed SOFC System for Wastewater Treatment ⚡🔋", "url": "/MscProjects/Polygeneration_report/", "excerpt": "Feasibility study of 120 kW SOFC system achieving 116.88 kW net output with 16.33-year payback for Novara WWTP biogas valorization." } ,{ "title": "Wind Farm Repowering: Veggerslev, Denmark 🇩🇰", "url": "/MscProjects/PW1_project/", "excerpt": "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." } ,{ "title": "Master Thesis: Icing Power Loss Forecasting for Wind Farms in Cold Climates Using Machine Learning", "url": "/MscProjects/Master_Thesis_Icing_Power_Loss/", "excerpt": "MSc thesis at rebase.energy (Stockholm): forecasting wind turbine icing power losses at 1-36 hour lead times using SCADA and ERA5-Land data, an extended IEA Wind..." } ,{ "title": "MSc Projects", "url": "/MscProjects/", "excerpt": " This page gathers projects and reports completed during my Master's program studies." } ,{ "title": "Naive Bayes - Prediction probability Storm days 🌪️ ", "url": "/MachineLearning/ml1.md/", "excerpt": "This is my 1st post about Machine Learning (ML). This is a topic I learnt from the book \"An Introduction to Statistical Learning\"." } ,{ "title": "K-Nearest Neighbours (KNN) Algorithm - Part 1 ", "url": "/MachineLearning/KNN_part1.md/", "excerpt": "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..." } ,{ "title": "KNN Regression Part 2 – Wind Power Prediction 🌬️⚡", "url": "/MachineLearning/KNN_part2.md/", "excerpt": "This post demonstrates how to model wind turbine power using KNN regression with simulated wind-farm data." } ,{ "title": "Random Forest - Methodology 🌲", "url": "/MachineLearning/00_Random_Forest.md/", "excerpt": "This post explains how Random Forest works, step by step. It covers bootstrap sampling, random feature selection, decision tree growth, and aggregation." } ,{ "title": "Support Vector Machine - Methodology 🧭", "url": "/MachineLearning/01_SVM.md/", "excerpt": "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..." } ,{ "title": "Flappy bird Game Part 1 🐦", "url": "/MachineLearning/Flappy_bird_part1.md/", "excerpt": "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..." } ,{ "title": "Flappy bird Game Part 2 🐦 with Artificial Neural Network (ANN)", "url": "/MachineLearning/Flappy_bird_part2.md/", "excerpt": "In this part 2, I will explain a simple Aritifical Neural Network (ANN) model to make Flappy Bird A.I. " } ,{ "title": "Introduction to Reinforcement Learning (Part 1)", "url": "/MachineLearning/Introduction_to_Reinforcement_Learning_Part1/", "excerpt": "An intuitive introduction to Reinforcement Learning. Learn the core concepts, Markov Decision Processes, key training trade-offs, and algorithm taxonomies." } ,{ "title": "Elastic Net Regression: Theory, Geometry, and Numerical Example", "url": "/MachineLearning/Elastic_Net/", "excerpt": "Understand the theory, constraint geometry, and step-by-step numerical calculation of Elastic Net regression." } ,{ "title": "Interactive Rubik's Cube Solver & ML Explainer 🧩", "url": "/MachineLearningProjects/Rubik/", "excerpt": "Learn how to solve a Rubik's Cube with interactive 3D visualizations, custom algorithms walkthrough, and Python Reinforcement Learning models." } ,{ "title": "Machine Learning", "url": "/MachineLearningProjects/", "excerpt": " This page collects all my posts on topics I find interesting about how to learn Machine Learning 😁💻." } ]