Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
In smart cities, the construction is a complex system, which integrates the concepts of the power grid, environment, and other intelligent systems. The development level of intelligent buildings is closely related to the development level of the intelligent city, and it is an indispensable factor in the city. However, the building is also an issue that consumes a lot of resources and energy, and the development of intelligent building has become an urgent task for the construction industry. This chapter describes, which is used to establish two-dimensional and three-dimensional models and obtain data to support building simulation prediction and performance optimization. In this chapter, the support vector machine is used to predict the dataset in the simulation results of DeST software, and an intelligent prediction method for energy consumption of a building in Changsha is proposed. Similarly, the big data computing framework is constructed according to the proposed prediction model to provide support for the design and operation of intelligent buildings in smart cities.
In smart cities, the construction is a complex system, which integrates the concepts of the power grid, environment, and other intelligent systems. The development level of intelligent buildings is closely related to the development level of the intelligent city, and it is an indispensable factor in the city. However, the building is also an issue that consumes a lot of resources and energy, and the development of intelligent building has become an urgent task for the construction industry. This chapter describes, which is used to establish two-dimensional and three-dimensional models and obtain data to support building simulation prediction and performance optimization. In this chapter, the support vector machine is used to predict the dataset in the simulation results of DeST software, and an intelligent prediction method for energy consumption of a building in Changsha is proposed. Similarly, the big data computing framework is constructed according to the proposed prediction model to provide support for the design and operation of intelligent buildings in smart cities.
Prediction Models of Energy Consumption in Smart Urban Buildings
Liu, Hui (Autor:in)
Smart Cities: Big Data Prediction Methods and Applications ; Kapitel: 4 ; 89-121
26.03.2020
33 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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