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.
| Original language | English |
|---|---|
| Title of host publication | Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014 |
| Editors | Ally Hu |
| Publisher | CRC Press/Balkema |
| Pages | 17-22 |
| Number of pages | 6 |
| ISBN (Print) | 9781138028111 |
| DOIs | |
| State | Published - 2015 |
| Event | Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014 - Shanghai, China Duration: 27 Dec 2014 → 28 Dec 2014 |
Publication series
| Name | Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014 |
|---|
Conference
| Conference | Proceedings of the Asia-Pacific Conference on Computer Science and Applications, CSAC 2014 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 27/12/14 → 28/12/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Fingerprint
Dive into the research topics of 'The research of IOT controlling model based on PSO for new energy heating system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver