Important Dates
Early Bird Registration :15th July 2026
Paper Submission Deadline :20th July 2026
Last Date of Registration : 30th July 2026
Date of Conference : 14th - 15th August 2026
Conference 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.
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
Track 01
AI-Driven Optimization in Energy Systems
This track focuses on the application of artificial intelligence techniques to optimize energy systems for improved efficiency and sustainability. Contributions may include innovative algorithms, machine learning models, and case studies demonstrating successful implementations.
Track 02
Predictive Analytics for Renewable Energy Management
This session aims to explore the role of predictive analytics in managing renewable energy sources and enhancing their integration into existing grids. Papers should address methodologies, tools, and real-world applications that leverage AI for forecasting and decision-making.
Track 03
Intelligent Systems for Sustainable Development
This track examines the development and deployment of intelligent systems that promote sustainable practices across various sectors. Submissions should highlight innovative AI applications that contribute to environmental sustainability and resource management.
Track 04
Automation and AI Frameworks in Energy Management
This session invites discussions on automation technologies and AI frameworks that facilitate energy management and operational efficiency. Contributions should focus on system architectures, integration challenges, and performance evaluations.
Track 05
Deep Learning Applications in Energy Systems
This track is dedicated to the exploration of deep learning methodologies and their applications within energy systems. Papers should showcase novel architectures, training techniques, and their impact on energy efficiency and sustainability.
Track 06
Innovative Strategies for Energy Sustainability
This session encourages submissions that present innovative strategies and frameworks for achieving energy sustainability through AI. Topics may include policy implications, economic analyses, and interdisciplinary approaches to sustainable energy solutions.
Track 07
Machine Learning for Energy Consumption Forecasting
This track focuses on the use of machine learning techniques for forecasting energy consumption patterns and trends. Papers should detail methodologies, data sources, and the implications of accurate forecasting on energy management.
Track 08
AI in Smart Grids and Energy Distribution
This session explores the integration of AI technologies in smart grids and energy distribution networks. Contributions should address challenges, solutions, and case studies that demonstrate the effectiveness of AI in enhancing grid reliability and efficiency.
Track 09
Sustainable Innovation in Energy Technologies
This track highlights the intersection of AI and innovative technologies aimed at promoting sustainability in energy systems. Submissions should focus on emerging technologies, their potential impact, and the role of AI in driving innovation.
Track 10
AI-Enhanced Decision Support Systems for Energy Policy
This session invites papers that discuss the development of AI-enhanced decision support systems to inform energy policy and strategic planning. Contributions should emphasize the role of data-driven insights in shaping sustainable energy policies.
Track 11
Challenges and Opportunities in AI for Energy Sustainability
This track addresses the challenges and opportunities associated with implementing AI solutions in the pursuit of energy sustainability. Papers should critically analyze barriers to adoption, ethical considerations, and future research directions.