851-0585-38L Data Science in Techno-Socio-Economic Systems - ETH Zürich Spring 2021

Data Sources

AQICN https://aqicn.org/map/zurich/

MeteoSwiss https://www.meteoswiss.admin.ch/home.html?tab=overview

Mobility Data https://opentransportdata.swiss/en/dataset

Official Swiss Air Quality Data https://www.bafu.admin.ch/bafu/en/home/topics/air/state/data/data-query-nabel.html

Official resources

Adafruit DHT22: https://learn.adafruit.com/dht-humidity-sensing-on-raspberry-pi-with-gdocs-logging/python-setup https://pimylifeup.com/raspberry-pi-humidity-sensor-dht22/

Sensirion SPS 30: https://pypi.org/project/sps30/

Sensirion SPS30 datasheet https://www.mouser.tw/datasheet/2/682/Sensirion_PM_Sensors_SPS30_Datasheet-1888453.pdf

Raspberry Pi OS with WiFi Manager: https://davesteele.github.io/comitup/

RaspiWiFi https://github.com/SCWhite/RaspiWiFi

Raspberry Pi Setup tutorial: https://learn.adafruit.com/raspberry-pi-zero-creation/overview

Resources for DIY housing for sensors https://www.samenmetenaanluchtkwaliteit.nl/fotos-van-sensoren-met-behuizing

Tutorial for getting started with Raspberry Pi https://learn.sparkfun.com/tutorials/getting-started-with-the-raspberry-pi-zero-wireless/all

Getting started with Pi https://projects.raspberrypi.org/en/projects/raspberry-pi-getting-started

Tutorial for setting up Pi https://thedatafrog.com/en/articles/raspberry-pi-zero-headless-install/

Papers

Qiao, Weibiao, et al. "The forecasting of PM2. 5 using a hybrid model based on wavelet transform and an improved deep learning algorithm." IEEE Access 7 (2019): 142814-142825.

Mahajan, Sachit, et al. "Improving the accuracy and efficiency of PM2. 5 forecast service using cluster-based hybrid neural network model." IEEE Access 6 (2018): 19193-19204.

Liu, Hui, Yinan Xu, and Chao Chen. "Improved pollution forecasting hybrid algorithms based on the ensemble method." Applied Mathematical Modelling 73 (2019): 473-486.

Liu, Hui, Zhu Duan, and Chao Chen. "A hybrid multi-resolution multi-objective ensemble model and its application for forecasting of daily PM2. 5 concentrations." Information Sciences 516 (2020): 266-292.