Renewable Energy Prediction using Weather Forecasts for Optimal Scheduling in HPC Systems

The objective of the GreenPAD project is to use green energy to power data-centers. As a part of this it is important to predict the Wind energy for efficient scheduling (executing jobs that require higher energy when there is more green energy available and vice-versa). For predicting the wind energy we first analyze the historical data to find a statistical model that gives relation between wind energy and weather attributes. Then we use this model on the weather forecast data to predict the green energy availability in the future.