e-Energy 2016 - Seventh International Conference on Future Energy Systems

Computing and communication technologies impact energy systems in two distinct ways. The exponential growth of these technologies has made them large energy consumers. Therefore, new architectures, technologies and systems are being developed and deployed to make computing and networked system more energy efficient. Additionally, these technologies will play a central role in the on-going transformation of our energy systems. They help measure, monitor and control energy resources, inform and shape human demand, and determine how utilities, generators, regulators, and consumers interact.
The seventh International Conference on Future Energy Systems (ACM e-Energy), to be held in Waterloo Canada in June 2016, aims to be the premier venue for researchers working in the broad areas of smart energy systems, and in energy-efficient computing and communications. By bringing together researchers in a single-track conference with significant opportunities for individual interaction, it will be a major forum that will shape the future of this area.
We solicit high-quality papers on smart energy systems and energy-efficient computing and communications. We welcome submissions describing theoretical advances as well as system design, implementation and experimentation. ACM eEnergy is committed to a fair, timely, and thorough review process with sound and detailed feedback.
Topics
Relevant topics for the conference include, but are not limited to the following:
Monitoring and control of energy systems and smart buildings
Energy-efficient computing and communication, including data centers
Electric vehicles and energy-efficient transportation system
Distribution and transmission network control
Microgrid and distributed generation management and control
Distributed energy resources, including storage resources
Smart grid communication architectures and protocols
Privacy and security of smart grid infrastructure
Demand-side management, including innovative pricing and incentive design
User behavior enabled by computing and communication technologies
Data analytics for the smart grid and energy-efficient systems