Framework to run different forecasting experiments on Sensor Data
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Updated
Mar 13, 2018 - Python
Framework to run different forecasting experiments on Sensor Data
This project evaluates ARIMA (Autoregressive Integrated Moving Average) and ST-ARIMA (Space-Time ARIMA) for short-term rainfall prediction in Jawa Timur, Indonesia. Built using R in RStudio, it compares these time-series models to improve climate adaptation in agriculture by analyzing spatial-temporal dependencies for better forecasting accuracy.
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