A machine learning based PM2.5 forecasting framework using internet of environmental things

Sachit Mahajan, Hao Min Liu, Ling-Jyh Chen, Tzu Chieh Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Information and communication technologies have been widely used to achieve the objective of smart city development. A smart air quality sensing and forecasting system is an important part of a smart city. In this paper, we present an approach to accurately forecast hourly fine particulate matter (PM2.5). An Internet of Things (IoT) framework comprising of Airbox Devices for PM2.5 monitoring has been used to acquire the data. Our main focus is to achieve high forecasting accuracy with reduced computation time. We use a hybrid model to do the forecast and a grid based system to cluster the monitoring stations based on the geographical distance. The experimentation and evaluation is done using Airbox Devices data from 119 stations in Taichung area of Taiwan. We are able to demonstrate that a proper clustering based on geographical distance can reduce the forecasting error rate and also the computation time.

LanguageEnglish
Title of host publicationIoT as a Service - Third International Conference, IoTaaS 2017, Proceedings
EditorsYi-Bing Lin, Ilsun You, Der-Jiunn Deng, Chun-Cheng Lin
PublisherSpringer Verlag
Pages170-176
Number of pages7
ISBN (Print)9783030004095
DOIs
Publication statusPublished - 2018 Jan 1
Event3rd International Conference on IoT as a Service, IoTaaS 2017 - Taichun, Taiwan
Duration: 2017 Sep 202017 Sep 22

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume246
ISSN (Print)1867-8211

Other

Other3rd International Conference on IoT as a Service, IoTaaS 2017
CountryTaiwan
CityTaichun
Period17/9/2017/9/22

Fingerprint

Learning systems
Internet
Monitoring
Air quality
Communication
Smart city
Internet of things

Keywords

  • Air quality
  • Internet of Things (IoT)
  • Smart cities

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Mahajan, S., Liu, H. M., Chen, L-J., & Tsai, T. C. (2018). A machine learning based PM2.5 forecasting framework using internet of environmental things. In Y-B. Lin, I. You, D-J. Deng, & C-C. Lin (Eds.), IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings (pp. 170-176). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 246). Springer Verlag. https://doi.org/10.1007/978-3-030-00410-1_20

A machine learning based PM2.5 forecasting framework using internet of environmental things. / Mahajan, Sachit; Liu, Hao Min; Chen, Ling-Jyh; Tsai, Tzu Chieh.

IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings. ed. / Yi-Bing Lin; Ilsun You; Der-Jiunn Deng; Chun-Cheng Lin. Springer Verlag, 2018. p. 170-176 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 246).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mahajan, S, Liu, HM, Chen, L-J & Tsai, TC 2018, A machine learning based PM2.5 forecasting framework using internet of environmental things. in Y-B Lin, I You, D-J Deng & C-C Lin (eds), IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 246, Springer Verlag, pp. 170-176, 3rd International Conference on IoT as a Service, IoTaaS 2017, Taichun, Taiwan, 17/9/20. https://doi.org/10.1007/978-3-030-00410-1_20
Mahajan S, Liu HM, Chen L-J, Tsai TC. A machine learning based PM2.5 forecasting framework using internet of environmental things. In Lin Y-B, You I, Deng D-J, Lin C-C, editors, IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings. Springer Verlag. 2018. p. 170-176. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). https://doi.org/10.1007/978-3-030-00410-1_20
Mahajan, Sachit ; Liu, Hao Min ; Chen, Ling-Jyh ; Tsai, Tzu Chieh. / A machine learning based PM2.5 forecasting framework using internet of environmental things. IoT as a Service - Third International Conference, IoTaaS 2017, Proceedings. editor / Yi-Bing Lin ; Ilsun You ; Der-Jiunn Deng ; Chun-Cheng Lin. Springer Verlag, 2018. pp. 170-176 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).
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