forecasting models - Robuta Search

https://www.usgs.gov/publications/ensembles-etas-models-provide-optimal-operational-earthquake-forecasting-during-swarms

Ensembles of ETAS models provide optimal operational earthquake forecasting during swarms: Insights...

Earthquake swarms, typically modeled as time-varying changes in background seismicity that are driven by external processes such as fluid flow or aseismic...

earthquake forecasting ensembles etas models provide

https://poweroutages.gideonshaked.com/

Forecasting Power Outage Duration with Predictive Models | power-outage-forecasting

Forecasting Power Outage Duration with Predictive Models

power outage predictive models forecasting duration

https://www.mdpi.com/1424-8220/22/12/4363

Deterioration of Electrical Load Forecasting Models in a Smart Grid Environment

Smart Grid (S.G.) is a digitally enabled power grid with an automatic capability to control electricity and information between utility and consumer. S.G. data...

electrical load forecasting models smart grid deterioration

https://www.preprints.org/manuscript/202503.0261

High-Frequency Cryptocurrency Price Forecasting using Machine Learning Models: A Comparative...

The cryptocurrency market is currently one of the most interesting areas for investment, attracting both experienced and casual investors. Although it can...

machine learning models high frequency cryptocurrency price forecasting

https://arxiv.org/abs/2506.05941v1

[2506.05941v1] Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting

Abstract page for arXiv paper 2506.05941v1: Comparative Analysis of Modern Machine Learning Models for Retail Sales Forecasting

machine learning models comparative analysis modern

https://aws.amazon.com/blogs/machine-learning/time-series-forecasting-with-llm-based-foundation-models-and-scalable-aiops-on-aws/

Time series forecasting with LLM-based foundation models and scalable AIOps on AWS | Artificial...

In this blog post, we will guide you through the process of integrating Chronos into Amazon SageMaker Pipeline using a synthetic dataset that simulates a sales...

time series forecasting foundation models llm based scalable

https://www.cambridge.org/highereducation/books/time-series-models-for-business-and-economic-forecasting/1B31239163A3EA21B56736906CA2151C/resources/general-resources/A6FDDF07C06FCD9B4A1D2FD9C32B8186

Resources for Time Series Models for Business and Economic Forecasting | Cambridge Aspire website

Online textbooks and resources for students and instructors, supporting teaching and learning, via Cambridge Aspire website.

time series models economic forecasting resources business

https://www.mdpi.com/1996-1073/17/20/5046

Long-Term Forecasting Models of Oil Demand Emerging from the Global Petrochemical Sector | MDPI

In the global energy mix by 2040, the growth in demand for oil and gas will be predominantly driven by the petrochemical sector across all regions of the world.

long term forecasting models oil demand emerging

https://www.rba.gov.au/publications/rdp/1988/8802/introduction.html

Introduction | RDP 8802: Var Forecasting Models of the Australian Economy: A Preliminary Analysis |...

forecasting models australian economy introduction rdp var

https://arxiv.org/abs/2508.01727

[2508.01727] OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

Abstract page for arXiv paper 2508.01727: OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting

distilling vision models parameters

https://modulai.io/blog/diffusion-models-for-time-series-forecasting/

Diffusion models for time-series forecasting - Modulai

Sep 9, 2024 - Discover how diffusion models, celebrated for their image-generation capabilities, are revolutionizing time series forecasting. By learning to denoise data and...

time series forecasting diffusion models

https://www.analyticsvidhya.com/courses/modeling-time-series-data-deep-learning/

Time Series Forecasting with Deep Learning Models

Learn to model time-series data using deep learning. Build neural networks and LSTMs for accurate energy forecasting with hands-on examples.

time series forecasting deep learning models

https://www.arxiv.org/abs/2601.12785

[2601.12785] Distilling Time Series Foundation Models for Efficient Forecasting

Abstract page for arXiv paper 2601.12785: Distilling Time Series Foundation Models for Efficient Forecasting

time series foundation models distilling efficient forecasting

https://openreview.net/forum?id=hcwHRlwcFA&referrer=%5Bthe%20profile%20of%20Defu%20Cao%5D(%2Fprofile%3Fid%3D~Defu_Cao1)

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling | OpenReview

Accurate demand forecasting is critical for supply chain optimization, yet remains difficult in practice due to hierarchical complexity, domain shifts, and...

foundation models demand forecasting via dual strategy

https://www.rba.gov.au/publications/rdp/1999/1999-04/models-for-forecasting-the-variance-covariance-matrix.html

Models for Forecasting the Variance-covariance Matrix | RDP 1999-04: Value at Risk: On the...

variance covariance matrix models forecasting rdp

https://www.manning.com/books/time-series-forecasting-using-foundation-models

Time Series Forecasting Using Foundation Models - Marco Peixeiro

time series forecasting foundation models using marco peixeiro

https://www.europeanbusinessreview.com/why-forecasting-fixated-with-accuracy-the-risk-of-ignoring-feedback/

Why Feedback Is Critical in Forecasting Models

Apr 28, 2025 - Explore the role of feedback in control theory and its applications in systems like robotics and aviation.

forecasting models feedback critical

https://hongkongfp.com/2025/08/08/hong-kong-observatory-looks-to-expand-use-of-ai-forecasting-models-for-extreme-weather-prediction/

HK Observatory looks to expand use of AI forecasting models

Aug 9, 2025 - The Hong Kong Observatory is considering expanding the use of artificial intelligence (AI) forecasting models to predict extreme weather conditions, a...

ai forecasting hk observatory looks expand

https://www.preprints.org/manuscript/202406.1434

Forecasting Volatility of SOFIX Index with GARCH Models[v1] | Preprints.org

This paper investigates five different GARCH models (GARCH, EGARCH, IGARCH, Component GARCH (CGARCH) and GJR-GARCH) along with six distributions (Normal,...

forecasting volatility sofix index garch

https://arxiv.org/abs/2412.10848

[2412.10848] Large Language Models for Medical Forecasting -- Foresight 2

Abstract page for arXiv paper 2412.10848: Large Language Models for Medical Forecasting -- Foresight 2

large language models medical forecasting foresight