Abstract: Common structures are provided in this standard for encoding data in communication between End Devices (meters, home appliances, IEEE 1703 Nodes) and Utility enterprise collection and control systems using binary codes and Extensible Markup Language (XML) content. The Advanced Metering Infrastructure (AMI) and SmartGrid requirements are addressed as identified by the Office of Electricity Delivery and Energy Reliability of the U.S. Department of Energy and by the Smart Metering Initiative of the Ontario Ministry of Energy (Canada) and of Measurement Canada. Sets of tables are exposed that are grouped together into sections that pertain to a particular feature-set and related function such as Time-of-use, Load Profile, Security, Power Quality, and more. Each standard Table Set (Data Model) can be expanded or restricted by the Manufacturer of the IEEE 1377 Device or home appliance using XML/TDL descriptive registered syntax (XML-based Table Definition Language) and enterprise data-value management using EDL (Exchange Data Language) in a manner that is machine readable. Published jointly with NEMA and Measurement Canada, Tables are provided in support of Gas, Water, and Electric sensors and related appliances. Tables are also provided for network configuration and management by referencing its companion standard IEEE Std 1703-2012. IEEE Std 1377-2012 is co-published as ANSI C12.19 and MC12.19. Keywords: ANSI C12.19, End Device, IEEE 1377, Utility Tables.

This book highlights the emerging field of intelligent computing and developing smart systems. It includes chapters discussing the outcome of challenging research related to distributed computing, smart machines and their security related research, and also covers next-generation communication techniques and the networking technologies that have the potential to build the future communication infrastructure. Bringing together computing, communications and other aspects of intelligent and smart computing, it contributes to developing a roadmap for future research on intelligent systems.

Electric Vehicle Integration into Modern Power Networks provides coverage of the challenges and opportunities posed by the progressive integration of electric drive vehicles. Starting with a thorough overview of the current electric vehicle and battery state-of-the-art, this work describes dynamic software tools to assess the impacts resulting from the electric vehicles deployment on the steady state and dynamic operation of electricity grids, identifies strategies to mitigate them and the possibility to support simultaneously large-scale integration of renewable energy sources. New business models and control management architectures, as well as the communication infrastructure required to integrate electric vehicles as active demand are presented. Finally, regulatory issues of integrating electric vehicles into modern power systems are addressed. Inspired by two courses held under the EES-UETP umbrella in 2010 and 2011, this contributed volume consists of nine chapters written by leading researchers and professionals from the industry as well as academia.

This title is dedicated to energy storage, low emission technologies and energy management, with discussions on the future of nuclear energy, combined heat and power, using hydrogen as an energy vector and fuel cells, as well as chapters on energy saving and control of the demand for power.