Aligned with
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.
This track explores the integration of blockchain technology in smart grid systems, focusing on enhancing energy distribution and management. Participants will discuss innovative solutions for decentralized energy transactions and grid security.
This session emphasizes advanced predictive modeling approaches applied to power systems, aiming to improve efficiency and reliability. Researchers will present methodologies that leverage machine learning for forecasting energy demand and supply.
This track addresses the critical aspect of data security in electrical engineering applications utilizing blockchain. Discussions will focus on encryption techniques, secure data transmission, and safeguarding sensor data.
This session highlights the use of deep learning algorithms for anomaly detection in electrical systems. Participants will share insights on identifying irregular patterns in energy consumption and system performance.
This track delves into feature extraction methods that enhance data analytics in energy systems. Researchers will present novel approaches to improve the interpretability and utility of sensor data.
This session focuses on the convergence of IoT and blockchain for efficient energy management solutions. Participants will explore case studies and frameworks that facilitate real-time monitoring and control of energy resources.
This track compares the effectiveness of supervised and unsupervised learning techniques in optimizing energy distribution networks. Researchers will present findings on model performance and application scenarios.
This session examines the role of digital twin technologies in modeling and simulating electrical systems. Discussions will focus on the benefits of real-time data integration and predictive maintenance.
This track addresses strategies for optimizing workflows in energy systems management through blockchain and AI technologies. Participants will share best practices and innovative methodologies for enhancing operational efficiency.
This session focuses on the evaluation of models used in energy analytics, emphasizing the importance of performance metrics. Researchers will discuss methodologies for assessing model accuracy and reliability.
This track explores emerging trends and future directions in the intersection of blockchain technology and electrical engineering. Participants will engage in discussions about potential innovations and challenges in the field.
