Contrary to the widespread promises of advanced metering infrastructure (“AMI”) deployment and the resultant analysis of “big data,” the industry has little to show for the investment, at least in terms of actionable insights from the data. While there are challenges in managing the huge amounts of data (particularly interval meter data) from an analytic point of view, the main problem may be the lack of actionable hypotheses for the data—that is, the lack of concrete questions that if answered, would result in actions taken to benefit the system and its customers. Stakeholders, often including the regulator, tend to misunderstand what it really takes to define the right types of questions to ask and then harness the potential that large-scale access to interval meter data may bring to answer them.
In this light, MCR has developed processes to manage, analyze, and create useful information for utilities that have deployed AMI or other means of collecting interval data on large populations of customers. Here, we share a framework and offer a real-life example focusing on customer-level and distribution system-level impacts of energy efficiency (“EE”) measure and behavioral interventions.Download the white paper on AMI interval data