| Title |
Medium- and long-term electric power demand forecasting based on the big data of smart city |
| ID_Doc |
38349 |
| Authors |
Wei, ZM; Li, XY; Li, XZ; Hu, QH; Zhang, HY; Cui, PJ |
| Title |
Medium- and long-term electric power demand forecasting based on the big data of smart city |
| Year |
2017 |
| Published |
|
| DOI |
10.1088/1742-6596/887/1/012025 |
| Abstract |
Based on the smart city, this paper proposed a new electric power demand forecasting model, which integrates external data such as meteorological information, geographic information, population information, enterprise information and economic information into the big database, and uses an improved algorithm to analyse the electric power demand and provide decision support for decision makers. The data mining technology is used to synthesize kinds of information, and the information of electric power customers is analysed optimally. The scientific forecasting is made based on the trend of electricity demand, and a smart city in north-eastern China is taken as a sample. |
| Author Keywords |
|
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000411557300025 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Physics, Multidisciplinary |
| Research Area |
Computer Science; Physics |
| PDF |
https://iopscience.iop.org/article/10.1088/1742-6596/887/1/012025/pdf
|