Abstract: The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role. Energy demand in smart grids is highly ...

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data. Here’s a breakdown of five common myths in demand forecasting and capacity ...

Add a description, image, and links to the time-series-forecasting-pipeline topic page so that developers can more easily learn about it.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: Retail transactions time series analysis helps the super market to analyze the customer behavior based on their purchases. It helps the super market to increase their sales based on the ...