Weapons makers Lockheed Martin and RTX predicted strong profits for the rest of this year on Tuesday as their results ...
A forecasting-driven framework integrates ARIMA, LSTM, and ensemble learning to optimize cloud resource scheduling. By predicting CPU, memory, ...
Datasets have been removed, federal websites scrubbed and thousands of Noaa staff purged. Experts warn disaster defences are ...
Discover how integrated data strategies and cultural alignment can break down silos, unify your grid view, and empower your ...
6don MSN
Utilities grapple with a multibillion question: How much AI data center power demand is real
The tech industry is shopping the same big projects around to multiple utilities as they look for the quickest access to power.
Under current rules, Maryland’s residential customers, along with other customers across the PJM region, foot the bill for ...
Ohio's energy costs are set to rise short-term, but reforms in HB 15 aim to stabilize bills by removing subsidies and ...
A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an ...
With 26.4 GW in large load study requests since 2020, the Southwest Power Pool is developing options for data centers, ...
GridCARE's AI-enabled grid planning approach accelerates time-to-power in Hillsboro, Oregon REDWOOD CITY, Calif., Oct. 8, 2025 /PRNewswire/ -- Portland General Electric (PGE) and GridCARE successfully ...
Abstract: Data sharing is essential for accurate load forecasting and efficient energy management, yet data exchange remains severely constrained by a lack of effective economic incentives. Data ...
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