Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

The global disruption highlights recurring issues in Microsoft 365 services and raises concerns over the resilience of ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Every living cell must interpret its genetic code—a sequence of chemical letters that governs countless cellular functions. A ...

The federal government underreported the number of international students in the U.S. last year by more than 200,000 people.

More than a year ago, computational scientists at the Department of Energy's Oak Ridge National Laboratory published a study ...

Thousands of DoorDash customers and drivers reported issues with the food and grocery delivery app early Wednesday morning ...

Syncing issues on Xbox have been especially common since late 2024, and I know how frustrating it is when you just want to ...

For automation to truly work, the data going in has to be clean, complete and standardised. That means putting proper data ...

Load forecasting is considered vital along with many other important entities required for assessing the reliability of power system. Thus, the primary concern is not to forecast load with a novel ...

In PSI, industrial users’ smart meter data are used to identify production scheduling parameters, thus addressing the problem of accurate load modeling when private data are unavailable. We ...