@article{3b8879fa9413414f8cbe210bc64b2955,
title = "An energy information system for retrofitting smart urban areas",
abstract = "This paper presents the ENERSI platform, an energy information system that provides advanced energy services by means of integrating energy related data from multiple domains and formats using Semantic Web technologies. The platform services can provide qualified information at different scales - from building to district, city and region - to different kind of users - such as building owners, city planner, energy agencies, architects, contractors and consultants - to take decisions aimed at improving the building energy performance in their respective decision-making realms.",
keywords = "energy efficiency, energy information systems, energy services, semantic web, smart cities",
author = "{\'A}lvaro Sicilia and Leandro Madrazo and Marco Massetti and Plazas, {Fabian L{\'o}pez} and Eric Ortet",
note = "Funding Information: This work has been carried out within the research project ENERSI co-funded by the Ministry of Economy and Competitiveness of the Government of Spain (Reference number RTC-2014-2676-3). We would like to thank the ppusort ofe thtitt sIunatal{\`a}CerEgndia {\textquoteright}EN)(AICdane thcia {\`e}nAgde Habitatl{\textquoteright}e gde ataCa nyluorfacilfitatignteirh data about EPCs and building technical inspections in Catalonia, respectively. Publisher Copyright: {\textcopyright} 2017 The Authors. Published by Elsevier Ltd.; 4th International Conference on Energy and Environment Research, ICEER 2017 ; Conference date: 17-07-2017 Through 20-07-2017",
year = "2017",
doi = "10.1016/j.egypro.2017.10.291",
language = "English",
volume = "136",
pages = "85--90",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier Ltd.",
}