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Tackling Climate Change with Time Series Analysis and Forecasting

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Tackling Climate Change with Time Series Analysis and Forecasting

This project contains 8 tasks related to time series analysis and forecasting concerning climate change.

Content

  • content/part_1 problem: Wind Power Forecasting (Univariate time series forecasting)
    • article:
  • content/part_2 problem: Solar Radiation Forecasting (Multivariate time series forecasting)
    • article:
  • content/part_3 problem: Ocean Wave Height Forecasting (Exceedance probability forecasting)
    • article:
  • content/part_4 problem: Energy Load Forecasting (Dealing with Seasonality)
    • article:
  • content/part_5 problem: Extreme weather events forecasting (Event detection)
    • article:
  • content/part_6 problem: Dew point forecasting (Deep learning for forecasting)
    • article:
  • content/part_7 problem: Food demand clustering (Time series clustering)
    • article:
  • content/part_8 problem: Origin-demand flow count forecastign (Dealing with GPS data)
    • article:

Datasets

All data sets used in this project are public. Check the respective article for the original source. This repository contains only samples of data

Contact

Feel free to reach out at cerqueira.vitormanuel@gmail.com

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Tackling Climate Change with Time Series Analysis and Forecasting

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