Machine Learning Applications for Energy Efficiency and Customer Care

With the world’s largest residential energy dataset at our fingertips, Opower is uniquely situated to use Machine Learning to tackle problems in demand-side management. Our communication platform, which reaches millions of energy customers, allows us to build those solutions into our products and make a measurable impact on energy efficiency, customer satisfaction, and cost to utilities.

In this talk, we will survey several Machine Learning projects that we’ve been working on. These projects vary from predicting customer propensity to clustering load curves for behavioral segmentation, and leverage supervised and unsupervised techniques.

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