CALL FOR PAPERS

The 3rd International Workshop on Big Data Analysis for Smart Energy (BigData4SmartEnergy 2020)

February 19, 2020, BEXCO, Busan, Korea

In conjunction with the IEEE BigComp 2020 - 7th IEEE International Conference on Big Data and Smart Computing

Purpose and Scope

AI-based smart energy deals with the challenges of using big data and AI techniques for the efficient management of energy resources and facilities, the timely detection of energy problems and anomalies, and the effective prediction of energy demands and services in the future, hence has already become an important area of research in many countries. This workshop aims to create opportunities to share on-going works in smart energy industry and academia, to enhance collaboration between energy researchers and data scientists, and to foster new innovations of AI, big data, and smart computing technologies in such areas as smart energy platforms and infrastructure, monitoring and analysis of energy big data, customized demand forecast in smart cities, smart homes, and electric vehicles, new innovative energy services, and so on. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work in (but not limited to) the following areas:

• Innovative AI techniques for future energy services and monitoring
• Intelligent techniques for smart energy platforms and infrastructure
• Big data analytics for smart energy operations, measurement and control
• Real-time handling and storage of stream data for power facilities
• Intelligent monitoring and real-time analysis of power energy big data
• Data mining and metadata annotation of power energy big data
• Big data- and/or block chain-based security systems for energy services
• Evaluation, monitoring and visualization techniques for energy big data
• Intelligent asset management of transmission and distribution facilities
• Machine learning techniques for anomaly detection in power services
• Electricity demand prediction for smart homes and smart cities
• Smart grid and customized energy services demand prediction
• Energy ecosystems and related issues