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On cold days, the system warms batteries before drivers leave, raises required charge levels, and flags risky routes so vans do not run short on power.
Utilities can both read meters and send commands back, like asking customers to use less power during busy times or remotely reconnecting service.
Instead of just matching ads to simple keywords, AI reads the meaning of each page so brands can place ads next to more relevant content.
Use AI to tell homes or businesses the cheapest and best times to use, store, or export electricity based on prices and grid conditions.
For a small office, the system plans when to cool the building early and when to use battery power later so the business avoids buying expensive electricity during peak-rate hours.
Energy prices and usage signals can change with real demand, helping providers send power where it is needed most and avoid wasteful overbuilding.
A technician uses one mobile app to see customer details, outage history, manuals, capture photos and signatures, order parts, and update job status instead of using paper and phone calls.
Instead of crews writing things down later or using separate systems, workers can enter time and substation job details on mobile tools while in the field, making records faster and more accurate.
Oracle lets utilities map custom characteristics into analytics fields and treat the same base dimension differently depending on context, like start date vs end date or main location vs alternate location.
It stress-tests a property project by changing assumptions like build costs, sale prices, interest rates, and delays to see if the deal still works.
Use the timing flexibility of water pumps and storage tanks so the electric grid can shift pumping to better hours, lowering costs while still delivering water reliably.
Use software to decide when water treatment equipment should run so the grid stays balanced while water service is still delivered.