With the world's largest residential energy data set at its fingertips, Opower is uniquely positioned to use Machine Learning to address demand-side management challenges. Our communications platform, which reaches millions of energy customers, allows us to build these solutions into our products and have a measurable impact on energy efficiency, customer satisfaction and utility costs.

In this talk we will explore several Machine Learning projects we have worked on. These projects range from predicting customer propensity to clustering load curves for behavioral segmentation, and leveraging supervised and unsupervised techniques.

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