%0 Journal Article %1 journals/access/ZhongZCSZC22 %A Zhong, Lijun %A Zhu, Mengting %A Chen, Shuiyao %A Shi, Minda %A Zhang, Xianglong %A Chen, Ding %D 2022 %J IEEE Access %K dblp %P 82870-82882 %T Double-Layer K-Means++ Clustering Method for Evaluation of Dispatchable Potential of Massive Regional 5G Base Stations. %U http://dblp.uni-trier.de/db/journals/access/access10.html#ZhongZCSZC22 %V 10

@article{journals/access/ZhongZCSZC22, added-at = {2022-09-26T00:00:00.000+0200}, author = {Zhong, Lijun and Zhu, Mengting and Chen, Shuiyao and Shi, Minda and Zhang, Xianglong and Chen, Ding}, biburl = {https://www.bibsonomy.org/bibtex/2044acbd556085827b114d748ea48a5fa/dblp}, ee = {https://doi.org/10.1109/ACCESS.2022.3195860}, interhash = {72eaa0d1e56aadad38758ec4132bdd5c}, intrahash = {044acbd556085827b114d748ea48a5fa}, journal = {IEEE Access}, keywords = {dblp}, pages = {82870-82882}, timestamp = {2024-04-08T14:10:22.000+0200}, title = {Double-Layer K-Means++ Clustering Method for Evaluation of Dispatchable Potential of Massive Regional 5G Base Stations.}, url = {http://dblp.uni-trier.de/db/journals/access/access10.html#ZhongZCSZC22}, volume = 10, year = 2022 }