The application is part of the Smarter Electricity Pilot Study, which will collect and analyze data over the next several months. Dubuque is the first city in Iowa where 1000 smart electricity meters have been installed at volunteer households. The pilot’s goal is to show that informed citizens can save money while conserving energy and making their community more sustainable.
The study—a collaboration of IBM, the City of Dubuque, Alliant Energy – Interstate Power and Light, and the Iowa Office of Energy Independence—will run from July to November 2011, with initial study results available by December 2011.
IBM reports its technology “will interface automated metering technology from Alliant Energy to monitor energy consumption data and provide near real-time visibility into the overall city energy consumption.” To that end, the company has built the IBM Smarter City Sustainability Model, which it describes as “a cloud-delivered asset that provides the city with an integrated view of its water and energy management. This model provides a combination of deep analytics to generate personalized insights, social computing to allow volunteers to collaborate, and actionable intelligence that allows citizens interested in changing consumption patterns to understand the impact of their actions.”
Dubuque Mayor Roy D. Buol says, “Based on the success of the Smarter Water Pilot Study completed earlier this year, we look forward to learning the insights the Smarter Electricity Study will offer our citizens and our city. Dubuque is honored to be IBM’s partner in this research to create a model for communities across the country and around the world.”
The smarter electricity meter system will monitor energy consumption every 15 minutes and will collect and securely communicate anonymous data to the IBM Research Cloud. The collected will be anonymous and contain no confidential information.
Milind Naphade, Program Director for Smarter City Services Research, adds: “One of many enhancements that automated meters provide is real-time data collection. With help, consumers can understand their usage patterns and make informed decisions on how to adjust those habits to save money and conserve resources. Our energy portal has these unique personalized decision support capabilities based on advanced analytics and social computing. This portal can be used by any utility deploying smart meters.”