%0 Conference Paper %1 conf/ivs/LinCHZH22 %A Lin, Yang %A Chu, Liang %A Hu, Jincheng %A Zhang, Yuanjian %A Hou, Zhuoran %B IV %D 2022 %I IEEE %K dblp %P 235-240 %T DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/ivs/ivs2022.html#LinCHZH22 %@ 978-1-6654-8821-1

@inproceedings{conf/ivs/LinCHZH22, added-at = {2023-03-21T00:00:00.000+0100}, author = {Lin, Yang and Chu, Liang and Hu, Jincheng and Zhang, Yuanjian and Hou, Zhuoran}, biburl = {https://www.bibsonomy.org/bibtex/2267b07d7b43c5a11f0d438ea96a76347/dblp}, booktitle = {IV}, crossref = {conf/ivs/2022}, ee = {https://doi.org/10.1109/IV51971.2022.9827234}, interhash = {ba899125f0925cf50e81b8f3574590cc}, intrahash = {267b07d7b43c5a11f0d438ea96a76347}, isbn = {978-1-6654-8821-1}, keywords = {dblp}, pages = {235-240}, publisher = {IEEE}, timestamp = {2024-04-09T10:33:21.000+0200}, title = {DRL-ECMS: An Adaptive Hierarchical Equivalent Consumption Minimization Strategy Based on Deep Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/ivs/ivs2022.html#LinCHZH22}, year = 2022 }