Water demand forecasting is an indispensable element in the sustainable management of water resources, as growing populations and climatic uncertainties intensify the pressure on water supplies.
The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...
From new tariffs and trade uncertainty to geopolitical tension and extreme weather events, external forces have upended traditional demand forecasting approaches. Among those most impacted are the CPG ...
This paper develops G3MOD, a semi-structural gap-trend model designed for frequent external sector forecasts crucial in macroeconomic forecasting. Focused on the G3 economies (US, Euro Area, and China ...
What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...
The AI insights highlight where accuracy is improving or deteriorating, enabling proactive responses. Private LLM-generated explanations help teams focus on insights that matter most. Likewise, ...
Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
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