25 stories tagged with #forecasting, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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As Honeywell Aerospace readies for its standalone debut, its CEO is forecasting big growth
By 2030 Honeywell is targeting annual earnings of at least $6.5 billion and full-year free cash flow of at least $4 billion.…
From Long News to Accurate Forecast: Importance-Aware Fusion and PRM-Guided Reflection for Time Series Forecasting
Incorporating news into time series forecasting is appealing because news can reveal abrupt exogenous events that historical values alone cannot recover. However, existing LLM-base…
This AI weather startup is out-forecasting government agencies
Windborne Systems' newest weather forecasting model beats the best government predictions by days.…
Ohio Axes Data Center Tax Break After Billion-Dollar Forecasting Error
Ohio Republican Gov. Mike DeWine is pausing a tax break for data centers after the exemption cost was over $1 billion more than lawmakers expected.…
Five Questions About Chronos-2, the Time Series Foundation Model
Part 1: A practitioner's walkthrough of univariate, multivariate, covariate-informed, and cold-start forecasting.…
Chronos vs Toto: Zero-Shot Forecasting Benchmark Results
Introduction Good forecasts help with capacity planning and quieter alerts. But one...…
BatteryMFormer: Multi-level Learning for Battery Degradation Trajectory Forecasting
Early battery degradation trajectory forecasting (BDTF), which predicts the full-life state-of-health trajectory from early operational data, is critical for battery optimization, …
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models
Time series foundation models (TSFMs) are increasingly pretrained on large corpora, raising concerns that evaluation datasets may have been exposed during pretraining and thus yiel…
LLM Driven AutoForecasting with Sktime's `Craft()`
AutoML is relying in many cases on some kind of grid searches. This is expensive. However, if humans are selecting hyperparameters, they……
Im attending Manifest 2026!
Im attending Manifest 2026! image source: Manifest site Hi everyone! Im planning to attend...…
# How I Built a Retail Demand Forecasting App with Python and Streamlit
By Okparaji Wisdom | Data Scientist | Nigeria Retailers in Nigeria lose millions of naira every...…
PaP-NF: Probabilistic Long-Term Time Series Forecasting via Prefix-as-Prompt Reprogramming and Normalizing Flows
Time series forecasting plays a central role in many real-world applications and has been extensively studied. Most existing approaches rely on deterministic models. However, real-…
Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting
Effectively modeling non-stationary dynamics in probabilistic multivariate time series(MTS) forecasting requires balancing expressiveness with robustness. Existing parametric appro…
Bullwhip Effect
IMD eyes new Doppler radars near Hyderabad, Nizamabad to boost Telangana weather forecasting
IMD plans to enhance Telangana's weather forecasting with new Doppler radars and monitoring stations under Mission Mausam.…
Dynamic TMoE: A Drift-Aware Dynamic Mixture of Experts Framework for Non-Stationary Time Series Forecasting
Non-stationary time series forecasting is challenged by evolving distribution shifts that static models struggle to capture. While Mixture-of-Experts (MoE) architectures offer a pr…
Spotify closes up 13% after announcing new features and 2030 guidance, forecasting a compound annual growth rate in the mid-teens and gross margins of 35%-40% (Samantha Subin/CNBC)
Spire Global expands weather forecasting for energy traders
Scaling Real-Time Traffic Forecasting with a Graph-Aware Transformer
Learn how Uber deployed a deep transformer model with graph data pipelines to solve real-time traffic forecasting, improving route quality and arrival times for millions of custome…
An Integrated Forecasting Prototype for Emergency Department Boarding Time to Support Proactive Operational Decision Making
Overcrowding in emergency departments (ED) remains a persistent operational challenge worldwide, causing delays in care delivery and downstream congestion. ED boarding time, define…
A Global-Local Graph Attention Network for Traffic Forecasting
Traffic forecasting is a significant part of intelligent transportation systems. One of the critical challenges of traffic forecasting is to find spatio-temporal correlations. In r…
Trump Cuts to Weather Data May Make Forecasts Less Reliable, Experts Warn
AI tools are useful, but their information on climate-driven extremes is lacking.…
New models when? Forecasting release date.
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
Probabilistic forecasting of infectious diseases is crucial for public health but relies on labor-intensive manual model curation by expert modeling teams. This bespoke development…
What the US Would Lose If It Eliminates the National Center for Atmospheric Research
“I think there's a great loss for the wrong reasons. There's no good reason for dismantling this or tearing it down,” a former NASA chief scientist says.…