Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...

Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

Abstract: Spatio-temporal wind speed forecasting plays a crucial role in enhancing energy conversion efficiency and optimizing resource allocation, forming a cornerstone of sustainable development.

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A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...

A new AI tool to predict the spread of infectious disease outperforms existing state-of-the-art forecasting methods. The tool, created with federal support by researchers at Johns Hopkins and Duke ...

Breakthroughs, discoveries, and DIY tips sent six days a week. Terms of Service and Privacy Policy. Weather forecasts are notoriously unreliable. Most people can ...