2 citations · 5 across the 6 of their papers we have counts for
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cs.LG2014★ 2 cited
Evaluation of Machine Learning Techniques for Green Energy Prediction
Ankur Sahai
We evaluate the following Machine Learning techniques for Green Energy (Wind, Solar) Prediction: Bayesian Inference, Neural Networks, Support Vector Machines, Clustering techniques…
cs.LG2014★ 2 cited
Renewable Energy Prediction using Weather Forecasts for Optimal Scheduling in HPC Systems
Ankur Sahai
The objective of the GreenPAD project is to use green energy (wind, solar and biomass) for powering data-centers that are used to run HPC jobs. As a part of this it is important to…
cs.DC2014
VM Power Prediction in Distributed Systems for Maximizing Renewable Energy Usage
Ankur Sahai
In the context of GreenPAD project it is important to predict the energy consumption of individual (and mixture of) VMs / workload for optimal scheduling (running those VMs which r…