Devdiscourse

Kazakhstan Moves to Modernize Monetary Forecasting with IMF Technical Assistance

The IMF’s CCAMTAC and Institute for Capacity Development assessed the National Bank of Kazakhstan’s monetary forecasting and ...
Devdiscourse

Why deep learning is becoming essential for sustainable finance forecasting

ESG indices in emerging markets often lack long, transparent historical records, making them difficult to analyze with ...

How Companies Predict Oil Prices: Methods and Influences

Discover the methods that companies use for forecasting oil prices, including calculus, econometrics, and market influences like OPEC and futures trading.
IEEE

Inconsistent Multivariate Time Series Forecasting

Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
IEEE

PPGF: Probability Pattern-Guided Time Series Forecasting

Abstract: Time series forecasting (TSF) is an essential branch of machine learning with various applications. Most methods for TSF focus on constructing different networks to extract better ...
Frontiers

Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory

1 College of Design, Creative and Digital Industries, University of Westminster, London, United Kingdom 2 School of Computing, Informatics Institute of Technology, Colombo, Sri Lanka The advancement ...
marktechpost

Salesforce AI Research Introduces Moirai-MoE: A MoE Time Series Foundation Model that Achieves Token-Level Model Specialization Autonomously

Time series forecasting has long been integral to finance, healthcare, meteorology, and supply chain management. Its main objective is to predict future data points based on historical observations, ...