@inproceedings{b941a32797e046b9a5154e593a520682,
title = "The research of IOT controlling model based on PSO for new energy heating system",
abstract = "In this paper, the new energy heating system with intelligent control model based on the P article Swarm Optimization (PSO) algorithm of Internet of Things (IOT) nodes to achieve the dynamic optimization green power is discussed. The PSO use in new energy heating system of drying room not only effectively reduces the energy consumption and carbon dioxide emissions but also quickly solves the drying room coordination problems between the various subsystems in the control system. Simulation results by the model show that the best economic operation can be brought about in real time, and optimum control system of IOT intelligent nodes can be achieved anytime depending on the conditions of daily solar resources.",
author = "Ping Zhao and Youming Ning and Jie Liu and Hui Wang and Hongfei Yao and Yonghuan Ma and Wenzhe Shi and Wenhao Wang and Bo Li",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor & Francis Group, London.; Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014 ; Conference date: 27-12-2014 Through 28-12-2014",
year = "2015",
doi = "10.1201/b18508-5",
language = "英语",
isbn = "9781138028111",
series = "Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014",
publisher = "CRC Press/Balkema",
pages = "17--22",
editor = "Ally Hu",
booktitle = "Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014",
}
