All Session Tracks

• 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. Aligned SDGs: SDG 7 – Affordable and Clean Energy  |  SDG 9 – Industry, Innovation and Infrastructure
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
• 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. Aligned SDGs: SDG 7 – Affordable and Clean Energy  |  SDG 13 – Climate Action
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
• 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. Aligned SDGs: SDG 7 – Affordable and Clean Energy  |  SDG 13 – Climate Action
• 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. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
• 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
• 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. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure

Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following 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