Important Dates
Early Bird Registration :17th February 2027
Paper Submission Deadline :22nd February 2027
Last Date of Registration : 4th March 2027
Date of Conference : 19th - 20th March 2027
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 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
Track 01
Innovations in Smart Grid Technologies
This track focuses on the latest advancements in smart grid technologies, emphasizing their integration with data mining techniques. Researchers are encouraged to present novel approaches that enhance grid efficiency and reliability.
Track 02
Predictive Maintenance Strategies in Electrical Systems
This session explores data-driven predictive maintenance methodologies for electrical engineering applications. Contributions should highlight the role of machine learning in forecasting system failures and optimizing maintenance schedules.
Track 03
Fault Detection and Diagnosis in Power Systems
This track addresses innovative data mining approaches for fault detection and diagnosis in electrical power systems. Papers should discuss algorithms and techniques that improve the accuracy and speed of fault identification.
Track 04
Energy Analytics and Consumption Forecasting
This session invites research on energy analytics, focusing on data mining methods for consumption forecasting. Contributions should demonstrate how predictive models can aid in energy management and sustainability efforts.
Track 05
Machine Learning Applications in Electrical Engineering
This track highlights the application of machine learning techniques in various domains of electrical engineering. Authors are encouraged to share case studies and experimental results that showcase the effectiveness of these methods.
Track 06
Optimization Techniques for Electrical Systems
This session focuses on optimization techniques applied to electrical engineering challenges, including system performance and resource allocation. Papers should present innovative solutions that leverage data mining for enhanced system optimization.
Track 07
Sensor Data Analysis for Smart Infrastructure
This track emphasizes the analysis of sensor data in the context of smart infrastructure development. Researchers are invited to present methodologies that utilize data mining to extract actionable insights from sensor networks.
Track 08
Data Mining for Renewable Energy Integration
This session explores the role of data mining in the integration of renewable energy sources into existing power systems. Contributions should focus on techniques that facilitate the management and optimization of renewable energy utilization.
Track 09
Real-time Monitoring and Control of Electrical Systems
This track addresses the challenges and solutions related to real-time monitoring and control in electrical systems. Papers should discuss the use of data mining and machine learning for enhancing system responsiveness and reliability.
Track 10
Data-Driven Decision Making in Electrical Engineering
This session focuses on the impact of data-driven decision-making processes in electrical engineering. Researchers are encouraged to present frameworks and case studies that demonstrate the benefits of integrating data mining into engineering practices.
Track 11
Trends in Electrical Engineering Education and Data Mining
This track examines the intersection of electrical engineering education and data mining methodologies. Contributions should explore innovative teaching strategies that incorporate data analytics into engineering curricula.