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 energyresources, inform and shape human demand, and determine how utilities, generators, regulators, and consumers interact.<br>The Eighth International Conference on Future Energy Systems (ACM e–Energy), to be held in Hong Kong from the 16th to the 19th of May 2017, is 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 designed to offer significant opportunities for individual interaction, it is a major forum to shape the future of this area.<br>We seek high–quality papers on smart energy systems and energy–efficient computing and communications. We welcome submissions describing conceptual 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.<br>Topics<br>Relevant topics for the conference include, but are not limited to the following:<br>* Monitoring and control of energy systems and smart buildings<br>* Energy–efficient computing and communication, including data centers<br>* Electric vehicles and energy–efficient transportation systems<br>* Control of distribution and transmission networks<br>* Microgrid and distributed generation management and control<br>* Distributed energy resources, including storage resources<br>* Smart grid communication architectures and protocols<br>* Privacy and security of smart grid infrastructure<br>* Demand–side management, including innovative pricing and incentive design<br>* User behavior enabled by computing and communication technologies<br>* Data analytics for the smart grid and energy–efficient systems<br>* Electricity market and electricity supply chain measurement, modeling, and analysis<br>
Abbrevation
ACM e-Energy
City
Hong Kong
Country
Hong Kong SAR China
Deadline Paper
Start Date
End Date
Abstract