With the rise of cheap sensors and microcomputers, the proliferation of smart power meters, and the reemergence of many machine learning tools, there is an unprecedented opportunity to understand energy-use in buildings. To process all of this data, we are seeking funds to build a low-cost and low-energy computing cluster. With this computing power, we will work on the next generation of control systems for building energy-use management.