is using PoLA to improve asset management. For example, SCE uses PoLA to analyze data from sensors on transformers to identify signs of wear and tear. This helps SCE to identify transformers that need to be replaced before they fail, which can help to avoid outages.

is using PoLA to improve energy efficiency. For example, PG&E uses PoLA to analyze data from smart meters to identify homes and businesses that are using more energy than usual. PG&E can then contact these customers and offer them tips on how to reduce their energy consumption.

is using PoLA to improve customer service. For example, Duke Energy uses PoLA to identify customers who are likely to experience outages or who have high energy bills. Duke Energy can then contact these customers and offer them assistance, such as outage alerts or energy efficiency tips.

PoLA can be used to identify unusual patterns of energy usage that may indicate fraud. For example, PoLA can be used to identify homes or businesses that are using more energy than they should be, even when accounting for changes in weather or other factors.

PoLA can be used to identify areas where there is a high risk of accidents or other safety incidents. For example, PoLA can be used to identify areas where there are a lot of downed power lines or where there is a high risk of wildfires.

PoLA can be used to identify new customer needs and develop services that meet those needs. For example, PoLA can be used to develop services that help customers to save energy or that provide them with more information about their energy usage.