Hybrid Conferencee

International Conference on Energy Systems and Big Data Analytics (ICESBDA - 26)

15th - 16th September 2026 | Ottawa, Canada

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Ottawa. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Ottawa event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Ottawa conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Ottawa, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Ottawa."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference 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.

SDG 7
SDG 7 Affordable and Clean Energy
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Innovations in Energy Systems Analytics

This track focuses on the latest advancements in energy systems analytics, emphasizing the integration of big data techniques. Researchers are invited to present novel methodologies that enhance the understanding and management of energy systems.

Track 02

Predictive Analytics for Renewable Energy

This session explores the application of predictive analytics in optimizing renewable energy resources. Contributions should demonstrate how data-driven approaches can improve forecasting and operational efficiency in renewable energy systems.

Track 03

Machine Learning Applications in Energy Management

This track highlights the role of machine learning in enhancing energy management practices. Papers should illustrate innovative applications that leverage machine learning algorithms to optimize energy consumption and distribution.

Track 04

AI-Driven Intelligent Energy Systems

This session examines the integration of artificial intelligence in developing intelligent energy systems. Participants are encouraged to discuss frameworks and case studies that showcase AI's impact on energy efficiency and reliability.

Track 05

Data Integration Techniques for Smart Grids

This track focuses on the challenges and solutions related to data integration in smart grid environments. Contributions should address the interoperability of diverse data sources and their implications for grid management.

Track 06

Visualization Techniques for Energy Data

This session aims to explore innovative data visualization techniques that enhance the interpretation of energy data. Researchers are invited to present tools and methodologies that facilitate clearer insights into complex energy datasets.

Track 07

System Optimization in Energy Systems

This track discusses optimization strategies for improving the performance of energy systems. Contributions should focus on mathematical modeling and algorithmic approaches that lead to enhanced operational efficiency.

Track 08

Energy Policy and Data-Driven Decision Making

This session investigates the intersection of energy policy and big data analytics. Papers should analyze how data-driven insights can inform policy development and strategic planning in the energy sector.

Track 09

Sustainable Systems and Big Data Solutions

This track emphasizes the role of big data in promoting sustainable energy systems. Researchers are encouraged to present studies that demonstrate how data analytics can support sustainability initiatives in energy production and consumption.

Track 10

Innovation Strategies in Energy Analytics

This session focuses on innovative strategies for implementing big data analytics in energy systems. Contributions should highlight successful case studies and frameworks that foster innovation in energy analytics.

Track 11

Challenges and Opportunities in Energy Data Management

This track addresses the challenges faced in managing energy data and the opportunities for improvement through analytics. Papers should explore barriers to effective data management and propose solutions that leverage big data technologies.