Energy big data acquisition and application based on service portfolio quality
| Autor: | Lingang Gu, Pingping Sun |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
Renewable Energy Sustainability and the Environment Energy management business.industry Computer science 020209 energy Quality of service Distributed computing Big data Energy Engineering and Power Technology 02 engineering and technology Energy consumption Shared resource 020401 chemical engineering Value network 0202 electrical engineering electronic engineering information engineering Energy supply 0204 chemical engineering business |
| Zdroj: | Sustainable Energy Technologies and Assessments. 45:101134 |
| ISSN: | 2213-1388 |
| DOI: | 10.1016/j.seta.2021.101134 |
| Popis: | Based on the Web service composition technology, the method of decomposing the quality of QoS indicators is proposed. Compared with the traditional integer programming and genetic algorithm, it improves the calculation speed of QoS of Internet of Things service portfolio quality. Big data technology is an important technology for handling massive amounts of data in a complex network environment. Although the previous big data technology can effectively deal with this, there are still shortcomings in accuracy and real-time. In order to achieve visual energy management and control and improve the application value of big data technology, a real-time visualized integrated energy big data platform based on heterogeneous computers is proposed. The platform can connect to heterogeneous computers of users in the business area in a non-intrusive manner. In order to obtain more accurate data related to energy supply, so as to monitor the state of energy supply from a comprehensive perspective. At the same time, in-depth research on the data resource sharing relationship, value network and service model has been carried out, and corresponding construction methods have been proposed. The results show that the proposed method is faster and more accurate in real-time detection of energy consumption. |
| Databáze: | OpenAIRE |
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