GitHub

A comprehensive Python package for hierarchical time series forecasting with support for multiple forecasting methods, reconciliation techniques, and evaluation metrics.

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...
Eos

The AI Revolution in Weather Forecasting Is Here

Storm Agnes is seen over the Bay of Biscay offshore western Europe on 27 September 2023 in this image captured by the Flexible Combined Imager on the Meteosat Third Generation satellite. Credit: ...
Forbes

Why Retailers Need A Weather Strategy Beyond Inventory Forecasting

Forbes contributors publish independent expert analyses and insights. Pam Danziger reports on retail, focused on the luxury consumer market. Weather significantly impacts retail, yet many underutilize ...
IEEE

Exploring the Hierarchical Sparsity in Long-term Multivariate Energy Data for Effective and Efficient Forecasting

Abstract: Energy forecasting plays a vital role in smart grid technology frameworks for monitoring power systems, including energy generation and consumption systems. As a downstream task of time ...
International Monetary Fund

A Python Package to Assist Macroframework Forecasting: Concepts and Examples

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
Transport Topics

UPS Outsources Weather Forecasting Operation

UPS Inc. has outsourced its proprietary weather-forecasting operations, along with moves to offload some tech support and investment office functions, as the company seeks to cut costs and streamline ...