@inproceedings{Curry2012f,
abstract = {Energy Intelligence platforms can help organizations manage power consumption more efficiently by providing a functional view of the entire organization so that the energy consumption of business activities can be understood, changed, and reinvented to better support sustainable practices. Significant technical challenges exist in terms of information management, cross-domain data integration, leveraging real-time data, and assisting users to interpret the information to optimize energy usage. This paper presents an architectural approach to overcome these challenges using a Dataspace, Linked Data, and Complex Event Processing. The paper describes the fundamentals of the approach and demonstrates it within an Enterprise Energy Observatory.},
address = {Pisa, Italy},
annote = {<a href="http://www.slideshare.net/edwardcurry/enterprise-energy-management-using-a-linked-dataspace-for-energy-intelligence">[slides]</a>},
author = {Curry, Edward and Hasan, Souleiman and O'Ri{\'{a}}in, Sean},
booktitle = {The Second IFIP Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012)},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Curry, Hasan, O'Ri{\'{a}}in - 2012 - Enterprise Energy Management using a Linked Dataspace for Energy Intelligence.pdf:pdf},
keywords = {COLLIDER,Complex Event Processing,DataCentreEE,Dataspace,Energy Intelligence,Energy Management,LEIdataspace,Linked Data,LinkedBuildingData,SICT-CMF,Semantic Sensor Networks},
mendeley-tags = {COLLIDER,DataCentreEE,LEIdataspace,LinkedBuildingData,SICT-CMF},
pages = {1--6},
publisher = {IEEE},
title = {{Enterprise Energy Management using a Linked Dataspace for Energy Intelligence}},
url = {http://www.edwardcurry.org/publications/curry_SustainIT_2012.pdf},
year = {2012}
}