%0 Conference Paper %1 Simmhan:socalsgs:2010 %A Simmhan, Yogesh %A Aman, Saima %A Cao, Baohua %A Giakkoupis, Michail %A Kumbhare, Alok %A Zhou, Qunzhi %A Gomadam, Karthik %A Prasanna, Viktor K. %B Southern California Smart Grid Research Symposium (SoCalSGS) %D 2010 %I University of Southern California %K cloud, complex energy event grid, informatics, learning, machine poster privacy, processing, security, smart streaming, usc, %T Scalable, Secure Energy Information Management for DR Analysis %U http://ceng.usc.edu/~simmhan/pubs/simmhan-socalsgs-2010.pdf %X The advent and growth of smart energy grids is increasing the ability to monitor and communicate power supply, pricing, and demand among utility providers and consumers. While the smart meter infrastructure is expanding at a rapid rate to enable communication using emerging standards, the software architecture to collect, manage, analyze, scale, and secure the information constantly streaming from the grid is still being designed. Effective integration, analysis, and feedback of energy information are essential for the benefits of smart grid to propagate to the various stakeholders: power utilities, residential, commercial, and institutional consumers, and service and application providers. This can lead to a lower peak demand on utilities to ensure regular supply of quality power, reduced consumption, and costs for consumers by making them aware of and giving them control over their power profile, and help organizations to plan and optimize energy usage to meet sustainability goals. Managing the energy information lifecycle – from the events streaming from smart meters through the smart grid, to meaningful analysis and feedback to utilities and consumers – presents several opportunities for software systems research identified below.

@inproceedings{Simmhan:socalsgs:2010, abstract = {The advent and growth of smart energy grids is increasing the ability to monitor and communicate power supply, pricing, and demand among utility providers and consumers. While the smart meter infrastructure is expanding at a rapid rate to enable communication using emerging standards, the software architecture to collect, manage, analyze, scale, and secure the information constantly streaming from the grid is still being designed. Effective integration, analysis, and feedback of energy information are essential for the benefits of smart grid to propagate to the various stakeholders: power utilities, residential, commercial, and institutional consumers, and service and application providers. This can lead to a lower peak demand on utilities to ensure regular supply of quality power, reduced consumption, and costs for consumers by making them aware of and giving them control over their power profile, and help organizations to plan and optimize energy usage to meet sustainability goals. Managing the energy information lifecycle – from the events streaming from smart meters through the smart grid, to meaningful analysis and feedback to utilities and consumers – presents several opportunities for software systems research identified below.}, added-at = {2014-08-13T04:08:36.000+0200}, author = {Simmhan, Yogesh and Aman, Saima and Cao, Baohua and Giakkoupis, Michail and Kumbhare, Alok and Zhou, Qunzhi and Gomadam, Karthik and Prasanna, Viktor K.}, biburl = {https://www.bibsonomy.org/bibtex/23b247d18fa8a41bb2afd291a56f81bd0/simmhan}, booktitle = {Southern California Smart Grid Research Symposium (SoCalSGS)}, interhash = {c476a65b60c108335ac1085322770e9f}, intrahash = {3b247d18fa8a41bb2afd291a56f81bd0}, keywords = {cloud, complex energy event grid, informatics, learning, machine poster privacy, processing, security, smart streaming, usc,}, month = {October}, note = {Poster}, owner = {Simmhan}, publisher = {University of Southern California}, timestamp = {2014-08-13T04:08:36.000+0200}, title = {Scalable, Secure Energy Information Management for DR Analysis}, url = {http://ceng.usc.edu/~simmhan/pubs/simmhan-socalsgs-2010.pdf}, year = 2010 }