Google DeepMind’s most advanced forecasting model
Weather predictions need to capture the full range of possibilities — including worst case scenarios, which are the most important ...
Tag: forecasting
Case Study: Probabilistic Forecasting for the UK National Grid
Why I ditched standard LSTMs for Google’s Temporal Fusion Transformer (TFT) to handle renewable energy volatility.Continue reading on Medium » ...
5 Python Libraries for Advanced Time Series Forecasting
5 Python Libraries for Advanced Time Series ForecastingImage by Editor Introduction Predicting the future has always been the holy grail ...
Forecasting the Future with Tree-Based Models for Time Series
In this article, you will learn how to turn a raw time series into a supervised learning dataset and use ...
UNFI taps into AI to improve forecasting, fulfillment
United Natural Foods Inc. (UNFI) opened fiscal 2026 with straightforward evidence that its long-running investment in artificial intelligence (AI), automation ...
A Decision Matrix for Time Series Forecasting Models
In this article, you will learn how to choose an appropriate time series forecasting model using a clear, four-quadrant decision ...
Production Forecasting Basics for Manufacturing Businesses
Effective production forecasting is crucial for manufacturing businesses seeking to remain competitive and responsive in a rapidly evolving market. When ...
Cost Forecasting in Construction Project Management
Monitoring costs is a critical aspect of successful construction project management. Staying within budget ensures projects are completed on time ...
GraphCast: AI model for faster and more accurate global weather forecasting
Research Published 14 November 2023 Authors Remi Lam on behalf of the GraphCast team Our state-of-the-art model delivers 10-day weather ...
A decoder-only foundation model for time-series forecasting
Time-series forecasting is ubiquitous in numerous domains, similar to retail, finance, manufacturing, healthcare and pure sciences. In retail use instances, ...
