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: | http://hdl.handle.net/20.500.12110/paper_18650929_v978_n_p116_Lujan |
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todo:paper_18650929_v978_n_p116_Lujan2023-10-03T16:33:37Z Cloud Computing for Smart Energy Management (CC-SEM Project) Luján, E. Otero, A. Valenzuela, S. Mocskos, E. Steffenel, L.A. Nesmachnow, S. Nesmachnow S. Hernandez Callejo L. 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. SER info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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 Luján, E. Otero, A. Valenzuela, S. Mocskos, E. Steffenel, L.A. Nesmachnow, S. Nesmachnow S. Hernandez Callejo L. 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. |
| format |
SER |
| author |
Luján, E. Otero, A. Valenzuela, S. Mocskos, E. Steffenel, L.A. Nesmachnow, S. Nesmachnow S. Hernandez Callejo L. |
| author_facet |
Luján, E. Otero, A. Valenzuela, S. Mocskos, E. Steffenel, L.A. Nesmachnow, S. Nesmachnow S. Hernandez Callejo L. |
| author_sort |
Luján, E. |
| 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) |
| url |
http://hdl.handle.net/20.500.12110/paper_18650929_v978_n_p116_Lujan |
| work_keys_str_mv |
AT lujane cloudcomputingforsmartenergymanagementccsemproject AT oteroa cloudcomputingforsmartenergymanagementccsemproject AT valenzuelas cloudcomputingforsmartenergymanagementccsemproject AT mocskose cloudcomputingforsmartenergymanagementccsemproject AT steffenella cloudcomputingforsmartenergymanagementccsemproject AT nesmachnows cloudcomputingforsmartenergymanagementccsemproject AT nesmachnows cloudcomputingforsmartenergymanagementccsemproject AT hernandezcallejol cloudcomputingforsmartenergymanagementccsemproject |
| _version_ |
1807319945544990720 |