Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 4 — Quality Education
SDG 7 — Affordable and Clean Energy
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Data Analytics for Energy Systems
This track focuses on the application of data analytics techniques to optimize energy systems. It aims to explore innovative methods for analyzing large datasets to enhance decision-making processes in energy management.
Track 02
Privacy-Preserving Solutions in Energy Systems
This session will address the challenges and solutions related to privacy in energy systems. Researchers are invited to present methodologies that ensure data privacy while maintaining system efficiency.
Track 03
Intelligent Monitoring and Control in Energy Distribution
This track emphasizes the development of intelligent monitoring and control systems for transmission and distribution networks. Contributions should highlight advancements in real-time management and protection mechanisms.
Track 04
Real-Time Data Analysis and Decision Making
This session aims to discuss real-time data analysis techniques that facilitate immediate decision-making in energy systems. Papers should focus on algorithms and frameworks that enhance responsiveness and operational efficiency.
Track 05
Distributed Computing Applications in Energy Systems
This track explores the role of distributed computing in enhancing the performance of energy systems. Submissions should investigate novel architectures and applications that leverage distributed resources for energy management.
Track 06
Visualization Techniques for Energy Data
This session will focus on innovative visualization techniques that aid in the interpretation of complex energy data. Contributions should demonstrate how effective visualization can support better decision-making in energy systems.
Track 07
Semantic Techniques in Energy Systems
This track invites papers that explore the application of semantic technologies to improve data interoperability and knowledge sharing in energy systems. Researchers should present frameworks that enhance semantic understanding in energy management.
Track 08
AI-Based Renewable Energy Integration
This session focuses on the integration of renewable energy sources using artificial intelligence techniques. Contributions should highlight innovative approaches that facilitate the seamless incorporation of renewables into existing energy grids.
Track 09
Intelligent Enterprise Systems for Energy Management
This track will explore the development of intelligent enterprise systems that enhance energy management practices. Papers should discuss applications such as outage management and demand response strategies.
Track 10
Knowledge-Based Systems in Energy Applications
This session will focus on the development and application of knowledge-based systems in energy contexts. Researchers are encouraged to present rule-based, expert, and model-based reasoning systems that address energy challenges.
Track 11
Hybrid Intelligent Systems in Energy Solutions
This track explores the integration of various intelligent systems to address complex energy problems. Contributions should focus on hybrid approaches that combine multiple AI techniques to enhance energy system performance.