Teradata technology is helping a growing number of utility companies analyze the vast amounts of data produced by their “smart” meters and power grids, which can help increase company efficiency and reduce consumer costs, officials said.
The Miami Twp.-based data warehousing company this month announced partnerships with several large global utility companies, including California-based Pacific Gas and Electric and Siemans Smartgrid Division of Nuremberg, Germany. Teradata’s customers also include U.K.-based Centrica, GDF Suez of France, Southern California Edison and Oklahoma Gas & Electric.
Utility companies worldwide need to manage and analyze both their technological and commercial data to remain competitive and meet regulatory and economic requirements, said Bryan Truex, Teradata’s senior director of utility analytics. “It is an emerging industry for us,” he said.
Teradata has 10,000 employees worldwide, including about 400 in the Dayton area, officials said.
U.S. utilities will spend $880 billion during the next two decades to improve metering, distribution and transmission, according to a 2009 “smart-grid” market report by the Brattle Group.
Dayton Power & Light doesn’t have a smart meter network in its service area, a company spokeswoman said.
Smart meters can provide utilities with updated power consumption data every 15 minutes, as opposed to monthly meter readings done by humans, Truex said. “They have exponentially more data points about each meter and about each premise that is being metered than they ever did before,” he said.
Teradata’s system provides the computing power needed for utilities to manage, process and analyze these large data volumes, Truex said. Data analytics allows the utilities to optimize their power networks by tracking the power that is being transmitted and consumed up and down the system, he said.
“The closer they can match that supply and demand, it allows them to lower the cost,” Truex said.
The technology also allows utilities to plan for power consumption peaks, restore power more quickly after an outage, and perform maintenance based on data about actual wear, rather than on a fixed cycle, officials said.