Evaluation of Machine Learning Techniques for Green Energy Prediction

Ankur Sahai

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arXiv · 1406.3726

Evaluation of Machine Learning Techniques for Green Energy Prediction

Ankur Sahai

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Abstract

We evaluate the following Machine Learning techniques for Green Energy (Wind, Solar) Prediction: Bayesian Inference, Neural Networks, Support Vector Machines, Clustering techniques (PCA). Our objective is to predict green energy using weather forecasts, predict deviations from forecast green energy, find correlation amongst different weather parameters and green energy availability, recover lost or missing energy (/ weather) data. We use historical weather data and weather forecasts for the same.

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Ankur Sahai. 2014-06-14. Evaluation of Machine Learning Techniques for Green Energy Prediction. https://arxiv.org/abs/1406.3726

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