Aligned with
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
This track focuses on the application of predictive analytics techniques to enhance the efficiency and reliability of sm...
This session explores the integration of machine learning algorithms in energy systems to optimize performance and decis...
This track aims to showcase innovative deep learning approaches for analyzing and optimizing renewable energy sources. P...
This session highlights the role of Internet of Things (IoT) technologies in data analytics for smart energy management....
This track is dedicated to exploring data-driven strategies for optimizing grid operations and management. Researchers a...
This session focuses on the development and application of anomaly detection techniques in energy consumption datasets. ...
This track emphasizes the importance of feature extraction in the context of energy data analysis. Contributions that pr...
This session investigates the technologies and methodologies for real-time monitoring and control of smart grid systems....
This track examines the role of data analytics in facilitating informed decision-making within energy systems. Contribut...
This session is dedicated to the development and evaluation of load prediction models tailored for smart grid applicatio...
This track focuses on the latest advancements in forecasting energy consumption using data science techniques. Contribut...