A comprehensive framework for hierarchical time series forecasting that combines statistical and deep learning models with probabilistic reconciliation to maintain forecast coherence while preserving ...
Project Description This project implements and compares multiple time series forecasting models for hourly electricity load prediction using the PJM (Pennsylvania-New Jersey-Maryland) Interconnection ...
It’s hardly surprising that after two straight weeks of sub-freezing temperatures that the Chicago area was looking for any sign of hope they could get on Groundhog Day. The tradition of Groundhog Day ...
Abstract: Air pollution has turned up as one of the prime widespread health burdens. In recent years, Bangladesh has stood the most polluted nations and the world's most polluted and contaminated ...
Abstract: As a longstanding scientific challenge, accurate and timely ocean forecasting has always been a sought-after goal for ocean scientists. However, traditional theory-driven numerical ocean ...
Kalshi, the booming platform that churns out predictions on everything from the Super Bowl to US elections, is showing early promise as an accurate forecaster of Federal Reserve policy and economic ...
Microsoft has woven its generative AI technology throughout Microsoft 365, the company’s productivity suite. Its Copilot AI assistant is most often used in M365 apps for text-oriented actions, such as ...
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