Microservices and Machine Learning Algorithms for Adaptive Green Buildings
In recent years, the use of services for Open Systems development has consolidated and strengthened. Advances in the Service Science and Engineering (SSE) community, promoted by the reinforcement of Web Services and Semantic Web technologies and the presence of new Cloud computing techniques, such a...
Автори: | Rodríguez Gracia, Diego, Piedra Fernández, José Antonio, Iribarne Martínez, Luis Fernando, Criado Rodríguez, Javier, Ayala Palenzuela, Rosa María, Alonso Montesinos, Joaquín Blas, Capobianco Uriarte, María De Las Mercedes |
---|---|
Формат: | info:eu-repo/semantics/article |
Мова: | English |
Опубліковано: |
MDPI
2020
|
Предмети: | |
Онлайн доступ: | http://hdl.handle.net/10835/7529 |
Схожі ресурси
Схожі ресурси
-
Optimal Model for Energy Management Strategy in Smart Building with Energy Storage Systems and Electric Vehicles
за авторством: Moya, Francisco David, та інші
Опубліковано: (2020) -
Generation of Microservice Names from Functional Requirements: An Automated Approach
за авторством: Arias Barros, Jhoan Sebastian, та інші
Опубліковано: (2024) -
Reducing the Operating Energy of Buildings in Arid Climates through an Adaptive Approach
за авторством: Albatayneh, Aiman, та інші
Опубліковано: (2022) -
The Significance of the Adaptive Thermal Comfort Practice over the Structure Retrofits to Sustain Indoor Thermal Comfort
за авторством: Albatayneh, Aiman, та інші
Опубліковано: (2021) -
Building parameters that influence overheating of apartment buildings in a temperate climate in Southern Europe
за авторством: Arriazu-Ramos, A. (Ainhoa), та інші
Опубліковано: (2023)