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2026-09-09 at 6:04 pm #4466

Do Kyong Kim

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Session 2. 2026 GSF–TDTU Joint Study Program

TDTU FEEE-Based Study on Energy · IoT · Big Data · AI Applications

Key Presentation Message

The focus of Session 2 is not to develop large-scale Smart Park, SEMS, or TerraChar facilities at the initial stage.

Instead, the program will use the strengths of the TDTU Faculty of Electrical & Electronics Engineering (FEEE) in:

Energy + Electronics + IoT + Big Data + AI + Automatic Control

and apply these technologies to small-scale test sites.

The basic concept is:

Small Test Site → Real Data → AI Analysis → Smart Control → Investor Proposal

1. Introduction to Session 2

Session 2 of the GSF–TDTU Joint Study Program is designed as a practical study program centered on TDTU FEEE.

Therefore, the main academic and technical areas are:

Energy
IoT
Big Data
AI
Automatic Control
Monitoring
Data Acquisition
Smart Operation

These technologies will be applied to three application areas:

SEMS

Energy management and optimization

Smart Park

Smart facility monitoring and operation

TerraChar

Soil and environmental monitoring with automated control

2. Basic Concept of the Joint Study

Although the three application areas are different, the underlying technical structure is common.

Common Technology Flow

Therefore, the core technical framework of the Joint Study is:

Sensor + IoT + Data + AI + Automation

3. Joint Study Implementation Direction

The initial stage will not focus on large-scale infrastructure investment.

Instead, each campus will operate a small-scale test site to collect real data and verify technologies.

Implementation Flow

The results can later be used to prepare practical proposals for Smart Park investors, companies, and public-sector partners.

4. Program 1 – SEMS Joint Study

Smart Energy · IoT · AI Energy Management

The first core program is SEMS.

Based on TDTU FEEE capabilities in electrical engineering, electronics, power systems, and control, students will study real energy data and explore how AI can optimize energy operation.

Main study areas include:

Smart Meter
Solar PV
Inverter
ESS
Load Monitoring
Peak Management
Energy Dashboard
AI Energy Analysis
Grid Forming
Smart Grid

5. Cooperation with Solar Solution JSC

Solar Solution JSC is proposed as a technical partner supporting field-oriented solar and energy applications in the SEMS Joint Study.

Its potential roles include:

Solar PV

solar generation;
inverter operation;
generation data;
system efficiency analysis.

Energy Monitoring

Smart Meter;
load data;
power quality;
monitoring.

ESS

battery monitoring;
charging / discharging;
peak management.

SEMS Integration

solar data;
load data;
ESS data;
environmental data.

These datasets can be used directly by students for practical SEMS analysis.

Reference:
Solar Solution – SEMS Joint Study
https://g-smartfuture.com/forums/topic/solar-solution-sems-joint-study/

6. Participation of ITUS

ITUS is proposed to support the SEMS Joint Study mainly in the area of AI-based energy consumption management and data analysis.

Key areas include:

AI Energy Management
Energy Consumption Analysis
Peak Demand Analysis
Abnormal Consumption Detection
PV / BESS Simulation
ROI Analysis
Student Technical Mentoring

Through this cooperation, students can analyze real electricity data and study practical AI-based energy optimization models.

Reference:
ITUS Participation in the 2026 GSF–TDTU SEMS Joint Study
https://g-smartfuture.com/forums/topic/itus-participation-in-the-2026-gsf-tdtu-sems-joint-study/

7. SEMS Student Team

Approximately 3 Students

Student 1 – Energy & IoT

Main tasks:

Smart Meter
Sensor
Inverter
Gateway
Energy Data Collection

Student 2 – Big Data & AI

Main tasks:

Data Cleaning
Time-Series Analysis
Demand Forecasting
Peak Analysis
AI Prediction

Student 3 – Control & Simulation

Main tasks:

ESS Simulation
Peak Shaving
PV Self-Consumption
Automatic Control
ROI Simulation

8. Core SEMS Research Question

A central research question can be presented as:

“How can real solar generation and electricity consumption data be collected through IoT and optimized through AI-based analysis and ESS operation?”

9. Program 2 – Smart Park IT Joint Study

IoT · Monitoring · Automation · AI

The second program focuses on Smart Park.

The emphasis is not on large-scale park development itself, but on the IT technologies required for smart operation.

Main study targets include:

Smart Lighting
Solar Canopy
Smart Bench
Smart Irrigation
Environmental Sensors
Smart Café
Visitor Monitoring
Facility Monitoring

10. Smart Park IT Architecture

The basic technical structure is:

11. Smart Park Automatic Control Study

Students can study practical control functions such as:

Lighting Control

time-based lighting control;
visitor-based lighting;
energy-saving operation.

Irrigation Control

soil moisture;
weather data;
automatic irrigation.

Energy Control

solar generation;
battery use;
load management.

Facility Monitoring

abnormal condition detection;
failure prediction;
maintenance support.

Visitor Analysis

visiting time;
usage pattern;
facility utilization.

12. Small-Scale Smart Park Test Site

The Smart Park test site should remain small at the initial stage.

A recommended size is approximately:

500㎡ – 2,000㎡

A basic test configuration may include:

1 Solar Canopy
1–2 Smart Benches
Smart Lighting
Smart Meter
IoT Gateway
Environmental Sensors
Smart Irrigation
Monitoring Dashboard

This scale is sufficient to collect real data and demonstrate core technologies to future investors.

13. Program 3 – TerraChar Smart Monitoring Study

Soil Sensor · IoT · Data · AI · Automatic Control

The third program is TerraChar.

Here again, the focus is not agriculture itself, but the application of FEEE-oriented IT technologies to environmental and agricultural monitoring.

Main technologies include:

Soil Moisture Sensor
Soil Temperature Sensor
pH Sensor
EC Sensor
Weather Sensor
Irrigation Monitoring
Pump Control
Environmental Monitoring

14. TerraChar IT Study Structure

15. Main TerraChar Study Topics

Students can compare TerraChar-treated and untreated plots.

Comparative Data

soil moisture;
soil temperature;
pH;
EC;
irrigation amount;
weather conditions;
crop growth.

Core Research Question

“How does TerraChar affect soil conditions and irrigation efficiency, and how much water and energy can be saved through AI-based automatic irrigation?”

16. Regional Test Site Operation

The three regional sites should be operated as small-scale demonstration sites, not as full-scale development projects.

HCMC Campus

Smart Energy IT Test Site

Target:

One building or one selected electrical load section

Main study areas:

SEMS
Smart Meter
Solar Data
AI Energy Analysis
ESS Simulation

Purpose:

Urban Smart Energy Model

Bao Loc Campus

TerraChar + Smart Agriculture IT Test Site

Bao Loc can later be expanded into a broader 3ha Smart Park and TerraChar demonstration complex.

However, during the initial Joint Study stage, only a small portion should be used as a focused test bed.

Recommended initial scale:

Approximately 500㎡ – 1,000㎡

Main study areas:

Soil Sensor
IoT
Weather Data
TerraChar
Smart Irrigation
AI Analysis

Purpose:

To collect real data for the future 3ha development and prepare investment proposal materials.

Khanh Hoa Campus

Coastal Smart Park IT Test Site

Recommended initial scale:

Approximately 500㎡ – 1,500㎡

Main study areas:

Smart Lighting
Solar Canopy
Environmental Sensors
Visitor Monitoring
Smart Park Dashboard
AI Operation Analysis

Purpose:

To develop a future investment model combining Tourism, Wellness, and Smart Park applications.

17. Purpose of the Test Sites

The purpose of each test site is not to complete a full facility.

The key objectives are:

1. Technology Validation

Does the technology work under real conditions?

2. Data Validation

Can the required data be collected reliably?

3. AI Validation

Can AI analysis improve operation?

4. Control Validation

Can automatic control be implemented?

5. Economic Validation

Is the model economically feasible when scaled up?

6. Investor Demonstration

Can actual performance data be shown to potential investors?

18. Smart Park Investor Proposal Model

One of the main outcomes of the Joint Study is the development of a Smart Park Investor Proposal Model.

Students and experts can jointly prepare the following packages.

Technical Package

System Architecture
Sensor Layout
IoT Structure
Network Diagram
Data Architecture
Automatic Control Logic

Data Package

Energy Data
Environmental Data
Facility Data
AI Analysis
Prediction Results

Economic Package

CAPEX concept
OPEX
Energy Saving
ROI
Payback Period
Expansion Cost

Presentation Package

Pilot Site
Dashboard
Real-Time Data
AI Results
Investment Concept

19. Student Participation Structure

Approximately three students will participate in each program.

Program	Students	Main Study Area
SEMS	Approx. 3	Energy · IoT · AI
Smart Park	Approx. 3	IoT · Monitoring · Automation
TerraChar	Approx. 3	Sensor · Data · AI Control
Total	Approx. 9

Basic team structure:

3 Students + TDTU FEEE Professor + GSF Expert + Industry Partner

20. Student Study Process

Phase 1. Technology Study

Sensor
IoT
Energy
Data
AI
Control

Phase 2. Test Site Design

Sensor Layout
Gateway
Network
Database
Dashboard

Phase 3. Installation

equipment installation;
communication setup;
data verification.

Phase 4. Data Collection

Real-Time Data
Historical Data
Data Cleaning

Phase 5. Big Data & AI

Pattern Analysis
Forecasting
Anomaly Detection
Optimization

Phase 6. Automatic Control

Control Logic
Simulation
Field Test

Phase 7. Investor Model

technical report;
economic analysis;
ROI;
investment proposal.

21. Definition of Partner Roles

TDTU FEEE

Energy
Electronics
IoT
Control
Data
AI
Student Research

GSF

Joint Study planning
international cooperation
expert coordination
company linkage
project development

Solar Solution JSC

Solar PV
Inverter
Smart Meter
Field Data
SEMS PoC

ITUS

AI Energy Management
Data Analysis
Energy Optimization
Student Mentoring

LFO

AI
Big Data
Dashboard
Smart Operation

C&P Korea

TerraChar technology linkage
demonstration support
Korean technology company networking

Thuận An Coffee / T&T Group

Coffee Field
TerraChar Application
Agricultural Data

VINABS / Dong Duoc Viet

Khanh Hoa field cooperation
Smart Park operation model
Tourism · Wellness linkage

Dongshin University

Energy
AI
Grid Technology
Joint Research
Student Exchange

22. Common Technology Across the Three Applications

Although the applications are different, the core technologies are common.