Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

Florida's hot Gulf waters are ripe for a hurricane but is that enough?

Social media chatter surged over storm signals, but meteorologists explain why this weather setup deserves a closer look.
Crude Oil Prices

Morgan Stanley Cuts Brent Forecast to $75 a Barrel

Morgan Stanley has slashed its oil price forecasts for the next 18 month as it expects the reopening of the Strait of Hormuz to accelerate a new supply glut. The return of oil supply from the Middle ...
GitHub

DataScienceAIpath/demand-forecasting-platform

Retailers lose millions to overstocking and stockouts from manual or spreadsheet-based forecasting. This platform automates 30-day demand forecasting for any SKU with three complementary models: ...
IEEE

Adaptive Multi-task Learning for Probabilistic Load Forecasting

Abstract: Simultaneous load forecasting across multiple entities (e.g., regions, buildings) is crucial for the efficient, reliable, and cost-effective operation of power systems. Accurate load ...
IEEE

A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences

Abstract: The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy ...
GitHub

This repo describes python code and input data files for "Forecasting stock return distributions around the globe with quantile neural networks".

torch 2.2.2 PyTorch framework for neural networks. The documented GPU setup targets the official CUDA 12.1 wheel. FF3.CSV Ken French Data Library Full file included Fama-French 3-factor returns. Only ...