How Analytics Can Solve Expensive Energy Problems

The panel explores the question, “What is the most expensive problem that big data can solve in the energy world?” Con Edison’s Michael Harrington and Efficiency 2.0’s Mark Smith expound on how data allows utilities to better plan capital investments, while Johnson Controls’ Domenic Armano provides a building perspective. Clip from “Power in Numbers: Capitalizing on the Data of Cleantech,” on March 22, 2012.

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