Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

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Development of Human Comfort Degree Forecast System

Authors
Xiaoju Zhen, Lixin Shi
Corresponding Author
Xiaoju Zhen
Available Online November 2016.
DOI
10.2991/icmia-16.2016.60How to use a DOI?
Keywords
Human comfort degree, forecast system, development.
Abstract

Based on interpreting Numerical Weather Prediction (NWP) products, using inverse distance weighting (IDW) method, the detailed human comfort degree forecast system is developed. The preliminary application shows better result.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.60
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.60How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Xiaoju Zhen
AU  - Lixin Shi
PY  - 2016/11
DA  - 2016/11
TI  - Development of Human Comfort Degree Forecast System
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SP  - 341
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.60
DO  - 10.2991/icmia-16.2016.60
ID  - Zhen2016/11
ER  -