| Autor: |
Xia Xiangkai, Cao Xiu, Dai Luping, Jin Anqi, Huang Xiaobo |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 6th Asia Conference on Power and Electrical Engineering (ACPEE). |
| DOI: |
10.1109/acpee51499.2021.9436902 |
| Popis: |
The development of smart meters and smart terminals has brought new opportunities to the power industry, providing power enterprises with user data hundreds of times higher than before. There is a lot of value in this data, but power companies currently lack efficient power. The big data analysis platform cannot make effective use of these data. Due to its own particularity and strategy, the power system data cannot use the big data analysis platform provided by other companies. Therefore, it is particularly important to design and build an efficient and usable power system big data analysis platform. Based on the actual scenario, this paper constructs a highly customized power big data analysis platform and integrates user value model analysis services to solve the problems in the actual work of power companies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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