Jonathan Lou (Editor)

Series: Energy Science, Engineering and Technology
BISAC: SCI024000

Smart Grids: Emerging Technologies, Challenges and Future Directions opens with a chapter discussing a solution for Non-Technical Losses rooted in Big Data Analytics and High Performance Computing. The suggested HPDA system is based on a Rule Based Expert System (RBES) in conjunction with statistical analysis and text mining for detection of NTLs in the power distribution and retailer databases, all of them in real-time. Following this, the authors discuss a solution rooted in Web Service Mining to reduce the response time for Smart Grid infrastructures. Additionally, the suggested solution establishes an automatic method to integrate new and old systems in the same infrastructure, taking advantage of all of them, and without any investment in their adaptation. The scalability of different advanced metering infrastructures is examined in order to propose a scalable hybrid AMI architecture, after which a project which could allow smart devices to identify each other in order to reconnect in case of failure is presented. With this project, new levels of standardisation of languages, protocols, and new interconnection functions will be required. (Imprint: Nova)