| Title | Construction of Power Forecasting and Environmental Protection Data Platform Based on Smart Grid Big Data |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Li, Guang-ye, Zhang, Jia-xin, Wen, Xin, Xu, Lang-Ming, Yuan, Ying |
| Conference Name | 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) |
| Date Published | may |
| Keywords | Big Data, Current measurement, Data Platform, data privacy, Environmental Protection, maintenance engineering, Metrics, Power Forecasting, pubcrawl, Real-time Systems, Resiliency, security, Smart grid, Smart Grid Privacy, Smart grids |
| Abstract | In today's era, the smart grid is the carrier of the new energy technology revolution and a very critical development stage for grid intelligence. In the process of smart grid operation, maintenance and maintenance, many heterogeneous and polymorphic data can be formed, that is to say big data. This paper analyzes the power big data prediction technology for smart grid applications, and proposes practical application strategies In this paper, an in-depth analysis of the relationship between cloud computing and big data key technologies and smart grid is carried out, and an overview of the key technologies of electric power big data is carried out. |
| DOI | 10.1109/ICAAIC53929.2022.9793230 |
| Citation Key | li_construction_2022 |
Construction of Power Forecasting and Environmental Protection Data Platform Based on Smart Grid Big Data