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Hybrid Event

6th - 7th June 2026 | Amsterdam, Netherlands

International Conference on Smart Grid Energy Analytics with Big Data (ICSGEBDA - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

Session Tracks

SDG Wheel

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 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 17 — Partnerships for the Goals
Explore All Session Tracks
Track 01
Advancements in Smart Grid Analytics

This track focuses on the latest methodologies and technologies in smart grid analytics. Contributions should explore innovative approaches to enhance data-driven decision-making in energy systems.

Track 02
Big Data Techniques for Renewable Energy Integration

This session aims to discuss the application of big data techniques in the integration of renewable energy sources into existing energy systems. Papers should highlight case studies and frameworks that demonstrate effective data utilization.

Track 03
Predictive Analytics in Energy Management

This track will examine the role of predictive analytics in optimizing energy management strategies. Submissions should present novel algorithms and models that improve forecasting accuracy and operational efficiency.

Track 04
Machine Learning Applications in Smart Grids

This session invites research on the application of machine learning techniques in the development and optimization of smart grids. Contributions should showcase how AI-driven solutions can enhance grid reliability and performance.

Track 05
Intelligent Systems for Energy Optimization

This track focuses on intelligent systems designed to optimize energy consumption and distribution. Papers should explore the integration of AI and machine learning in creating adaptive energy solutions.

Track 06
Data Integration Strategies for Energy Systems

This session will address the challenges and solutions related to data integration in energy systems. Contributions should discuss frameworks that facilitate seamless data flow across various platforms and stakeholders.

Track 07
Visualization Techniques for Energy Data

This track emphasizes the importance of data visualization in understanding complex energy datasets. Submissions should present innovative visualization techniques that enhance stakeholder engagement and decision-making.

Track 08
System Optimization in Smart Grid Environments

This session will explore methodologies for optimizing system performance within smart grid environments. Papers should highlight optimization techniques that improve efficiency and reduce operational costs.

Track 09
Sustainable Energy Innovations and Strategies

This track focuses on innovative strategies for promoting sustainable energy practices. Contributions should discuss new technologies and policies that support the transition to sustainable energy systems.

Track 10
AI-Driven Solutions for Energy Challenges

This session invites research on AI-driven solutions that address contemporary challenges in energy management. Papers should explore the impact of artificial intelligence on enhancing energy efficiency and sustainability.

Track 11
Future Trends in Smart Grid Energy Analytics

This track will examine emerging trends and future directions in smart grid energy analytics. Contributions should provide insights into the evolving landscape of big data applications in energy systems.

2026 UPDATE

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.