Cloud Computing for Smart Energy Management (CC-SEM Project)
This paper describes the Cloud Computing for Smart Energy Management (CC-SEM) project, a research effort focused on building an integrated platform for smart monitoring, controlling, and planning energy consumption and generation in urban scenarios. The project integrates cutting-edge technologies (...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v978_n_p116_Lujan http://hdl.handle.net/20.500.12110/paper_18650929_v978_n_p116_Lujan |
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paper:paper_18650929_v978_n_p116_Lujan2023-06-08T16:29:40Z Cloud Computing for Smart Energy Management (CC-SEM Project) Cloud computing Energy efficiency Smart cities Cloud computing Energy efficiency Energy management Energy utilization Smart city Communication infrastructure Cutting edge technology Energy generations Energy monitoring High performance computing Integrated platform Smart monitoring Specific hardware Green computing This paper describes the Cloud Computing for Smart Energy Management (CC-SEM) project, a research effort focused on building an integrated platform for smart monitoring, controlling, and planning energy consumption and generation in urban scenarios. The project integrates cutting-edge technologies (Big Data analysis, computational intelligence, Internet of Things, High Performance Computing and Cloud Computing), specific hardware for energy monitoring/controlling built within the project and explores their communication. The proposed platform considers the point of view of both citizens and administrators, providing a set of tools for controlling home devices (for end users), planning/simulating scenarios of energy generation (for energy companies and administrators), and shows some advances in communication infrastructure for transmitting the generated data. © 2019, Springer Nature Switzerland AG. 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v978_n_p116_Lujan http://hdl.handle.net/20.500.12110/paper_18650929_v978_n_p116_Lujan |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Cloud computing Energy efficiency Smart cities Cloud computing Energy efficiency Energy management Energy utilization Smart city Communication infrastructure Cutting edge technology Energy generations Energy monitoring High performance computing Integrated platform Smart monitoring Specific hardware Green computing |
spellingShingle |
Cloud computing Energy efficiency Smart cities Cloud computing Energy efficiency Energy management Energy utilization Smart city Communication infrastructure Cutting edge technology Energy generations Energy monitoring High performance computing Integrated platform Smart monitoring Specific hardware Green computing Cloud Computing for Smart Energy Management (CC-SEM Project) |
topic_facet |
Cloud computing Energy efficiency Smart cities Cloud computing Energy efficiency Energy management Energy utilization Smart city Communication infrastructure Cutting edge technology Energy generations Energy monitoring High performance computing Integrated platform Smart monitoring Specific hardware Green computing |
description |
This paper describes the Cloud Computing for Smart Energy Management (CC-SEM) project, a research effort focused on building an integrated platform for smart monitoring, controlling, and planning energy consumption and generation in urban scenarios. The project integrates cutting-edge technologies (Big Data analysis, computational intelligence, Internet of Things, High Performance Computing and Cloud Computing), specific hardware for energy monitoring/controlling built within the project and explores their communication. The proposed platform considers the point of view of both citizens and administrators, providing a set of tools for controlling home devices (for end users), planning/simulating scenarios of energy generation (for energy companies and administrators), and shows some advances in communication infrastructure for transmitting the generated data. © 2019, Springer Nature Switzerland AG. |
title |
Cloud Computing for Smart Energy Management (CC-SEM Project) |
title_short |
Cloud Computing for Smart Energy Management (CC-SEM Project) |
title_full |
Cloud Computing for Smart Energy Management (CC-SEM Project) |
title_fullStr |
Cloud Computing for Smart Energy Management (CC-SEM Project) |
title_full_unstemmed |
Cloud Computing for Smart Energy Management (CC-SEM Project) |
title_sort |
cloud computing for smart energy management (cc-sem project) |
publishDate |
2019 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v978_n_p116_Lujan http://hdl.handle.net/20.500.12110/paper_18650929_v978_n_p116_Lujan |
_version_ |
1768541959460225024 |