Fujitsu / Semiconductor Research Corporation / S. V. L. Group / Samsung / Vestas / Amazon / eBay / Focus Center Research Program / Nokia / National Renewable Energy Laboratory / Oak Ridge National Laboratory / Lawrence Berkeley National Laboratory / Integrating Renewable Energy Using Data Analytics Systems / Intel / /
Country
United States / / /
Facility
National Renewable Energy Laboratory / Computer Science University of California / University of California / /
IndustryTerm
maximum usable wind energy / non-power proportional systems / wind technology center data / large energy consumers / unit energy / Recent green computing efforts / green computing / lower real-time electricity prices / energy waste / supply-aware scheduling algorithms / technology industry / natural language processing cluster / intermittent and variable renewable energy sources / energy coming / data-warehouse systems / data analytics applications / pc energy usage / supply-following algorithm / energy use / largescale energy storage / renewable energy integration / Internet data centers / renewable energy penetration / clean electricity / energy / energy consumption / intermittent energy sources / power management / renewable supply using energy storage / non energy-proportional systems / energy foot-print / energy bills / interactive web service clusters / proposition using current technologies / alternate systems / internet-scale systems / enough processors / Data center energy / energy efficiency / computing / power proportional systems / energy-proportional computing / wind energy / renewable energy supply / energy needs / electricity consumers / miscellaneous plug-load equipment / real time energy price / energy storage capacity / data center networks / large scale communication systems / proportional clustered services / renewable energy / signal processing / information-centric energy infrastructure / thermal management / energy mix / power-proportional web cluster / energy storage techniques / elastic applications / supply-following scheduling algorithm / renewable energy sources makes / renewable energy use / electricity / energy storage / degree renewable energy integration / Internet Computing / wind energy ranges / little energy / Natural language processing / supply-following scheduling algorithms / commodity products / large scale energy storage / alternate solution / so-far less variable and continuous energy demand / energy proportionality / /
Organization
UC Berkeley / IEEE Computer Society Technical Committee on Data Engineering / USENIX Association / German Academic Exchange Service / Electrical Engineering and Computer Science University / California Public Utilities Commission / Committee on Energy / National Science Foundation / University of California / Berkeley / Department of Energy / Multiscale Systems Center / United States Senate / Congress / Randy Katz Department of Electrical Engineering / Berkeley International Computer Science Institute / Committee on Energy and Natural Resources / U.S. Government Printing Office / EECS Department / /
Person
David Culler / Christoph Goebel / Andrew Krioukov / Randy Katz / Sara Alspaugh / /
Integrating Renewable Energy Using Data Analytics Systems: Challenges and Opportunities Andrew Krioukov, Christoph Goebel†, Sara Alspaugh, Yanpei Chen, David Culler, Randy Katz Department of Electrical Engineering and