| Title |
Quantitative Analysis Model Of User'S Electrical Behavior For Smart Grid |
| ID_Doc |
43947 |
| Authors |
Lv Y.-C.; Xu X.; Xu R.-L.; Qiu X. |
| Year |
2019 |
| Published |
Proceedings - 2019 International Conference on Intelligent Transportation, Big Data and Smart City, ICITBS 2019 |
| DOI |
http://dx.doi.org/10.1109/ICITBS.2019.00074 |
| Abstract |
Under smart power environment, mass electro-data bring new opportunities and challenges for user's electrical behavior analysis. This paper starts from individual user's electrical consumption monitoring to establish multi-dimensional load classification system and decompose individual user's electricity load. Then, for user's electrical behavior characteristics and user's electrical load characteristics, we apply improved K-means cluster to classify and analyze user's electrical behavior. On this basis, this paper designs a model for non-intrusive electrical load decomposition and recognition study to mine user's modes, assist grid company to formulate request correspondence and achieve the purpose of energy-saving and emission reduction. © 2019 IEEE. |
| Author Keywords |
electrical behavior; K-means; load; power; smart grid |
