The Pharmacy Automation Systems Market demonstrates strong growth potential, reflecting increasing investments in healthcare ...

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 ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Add Yahoo as a preferred source to see more of our stories on Google. Demand for mezcal was low for years, but interest and sales have soared. The vast majority of the spirit is made in Oaxaca, Mexico ...

Abstract: The transition of the automotive sector to electric vehicles (EVs) necessitates research on charging demand forecasting for optimal station placement and capacity planning. In the literature ...

Analysts point out that nearly three-quarters of anticipated energy demand will come from non-AI sources. Non-AI energy demand growth is driven not by computing, but by electrification of large parts ...

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Researchers at Institute of Science Tokyo have developed a novel Group Encoding method that accurately forecasts electricity demand using only On/Off device data from building energy systems. Tested ...