BANGKOK 10th International Conference on Smart Energy Systems and Technologies: SEST-27

Call for papers/Topics

All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:

1. Independent Core Disciplines

These represent the fundamental pillars of energy engineering, computer science, and economics that serve as the building blocks for smart grids before they are integrated.

Electrical Power Engineering (The Physical Infrastructure)

• High-Voltage Direct Current (HVDC) Systems: Transmission technologies for long-distance, low-loss bulk power transfer.

• Flexible AC Transmission Systems (FACTS): Power electronics-based systems used to enhance controllability and increase power transfer capability.

• Substation Automation: Intelligent Electronic Devices (IEDs), protection relays, and circuit breakers.

• Traditional Generation and Synchronous Machines: Dynamics of large-scale thermal, hydro, and nuclear power generation.

Information and Communications Technology (The Digital Layer)

• Industrial Internet of Things (IIoT): Connected sensors, smart meters, and edge computing devices.

• Telecommunication Network Architectures: Cellular (5G/6G), Power Line Communication (PLC), cellular IoT, and fiber-optic backhauls.

• Cybersecurity and Encryption: Threat detection, intrusion prevention, cryptographic protocols, and zero-trust architectures for critical infrastructure.

• Cloud and Distributed Data Management: High-performance database architectures, time-series data storage, and scalable cloud computing.

Data Science and Artificial Intelligence (The Intelligence Layer)

• Supervised and Unsupervised Machine Learning: Regression models, neural networks, and clustering algorithms for data interpretation.

• Reinforcement Learning: Adaptive control loops and automated agent-based decision-making.

• Computer Vision: Satellite and drone imagery analysis for physical asset monitoring and fault detection.

Energy Economics and Policy (The Regulatory Layer)

• Electricity Market Design: Day-ahead, intraday, and balancing market mechanisms.

• Carbon Pricing and Cap-and-Trade Systems: Economic frameworks rewarding decarbonization.

• Regulatory Compliance and Incentives: Feed-in tariffs, net metering regulations, and utility performance-based ratemaking.

2. Interrelated Cross-Disciplinary Fields

These fields exist at the intersection of two or more core disciplines, highlighting how hardware, software, and economics depend on one another.

Power Systems + ICT (The Smart Grid Architecture)

• Advanced Metering Infrastructure (AMI): Smart meters enabling two-way communication between utilities and consumers for real-time billing and demand profiling.

• Supervisory Control and Data Acquisition (SCADA): System monitoring, data collection, and master terminal unit operations.

• Wide Area Monitoring Systems (WAMS): Phasor Measurement Units (PMUs) providing time-synchronized high-speed data to track grid stability across continents.

Power Systems + AI (The Predictive Operation Nexus)

• Predictive Maintenance: Leveraging machine learning on vibration and temperature sensor data to predict transformer or wind turbine failures.

• Energy Forecasting: Deep learning models predicting renewable generation output (solar irradiance/wind speed) and system load.

• Smart Grid Self-Healing: Automated algorithmic routing to isolate faults and restore power to unaffected grid sectors within milliseconds.

ICT + Economics + AI (The Demand-Side Nexus)

• Automated Demand Response (ADR): Algorithmic control of smart appliances, HVAC systems, and industrial loads to curtail consumption during peak market pricing.

• Virtual Power Plants (VPPs): Aggregating hundreds of distributed energy resources (rooftop solar, home batteries) via cloud software to act as a single utility-scale power plant in energy markets.

• Transactive Energy Systems: Decentralized energy trading architectures using distributed ledgers or blockchain for automated peer-to-peer electricity trading among neighbors.

3. Advanced Multi-Disciplinary Technologies

These cutting-edge systems merge all elements—power hardware, communications, intelligence, and economics—to solve systemic clean energy challenges.

• Microgrids and Islanded Energy Systems: Localized grids containing generation, storage, and loads that can disconnect from the main grid to operate autonomously during emergencies or power local communities.

• Vehicle-to-Grid (V2G) Systems: Integrating electric vehicle (EV) fleets into the smart grid, allowing EV batteries to inject power back into the network to stabilize demand fluctuations.

• Digital Twins for Energy Networks: Building real-time, AI-driven virtual simulations of entire physical grid networks to test stress scenarios, optimize load flow, and manage infrastructure lifecycle costs.

• Co-optimized Multi-Energy Systems (Sector Coupling): Integrating the electricity grid with smart gas networks (hydrogen/biomethane) and district heating/cooling systems to maximize cross-sector efficiency.

• Battery Energy Storage Systems (BESS) Control: Software-driven orchestration of large-scale lithium-ion or flow batteries for frequency regulation, peak shaving, and black-start capabilities