Frontiers

Transformer encoder for one-step-ahead AQI forecasting using multivariate air-quality monitoring data

Short-term forecasting of the Air Quality Index (AQI) can support public health risk management and real-time environmental decision-making. In this study, we propose a multivariate, one-step-ahead ...
Investopedia

Understanding Multivariate Models: Forecasting Investment Outcomes

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
GitHub

qtt_multivariate_tutorial.md

This tutorial builds two QTT approximations of a two-dimensional function, one with interleaved quantics bits and one with grouped quantics bits. The function is sampled on the half-open square [0, 1) ...
IEEE

Hybrid Score-Driven Multivariate Probabilistic Forecasting of Correlated PV Generation Using Deep Mixture Density Network

Abstract: With massive integration of photovoltaic (PV) generation in power systems, multivariate probabilistic forecasting (MPF) is essential for analysis and decision-making of power systems, which ...
IEEE

Industrial Nonstationary Multivariate Time Series Forecasting via Frequency-Domain Decomposition and Seasonal-Trend Bidirectional Interaction

Abstract: In complex industrial production processes, accurate multivariate time series forecasting is essential for operational control, process optimization, and safety assurance. However, the ...
GitHub

akshay1389/time-series-forecasting-python

A comprehensive tutorial on time series analysis, transformation, and forecasting using real-world air quality data from Beijing. This project walks through the complete pipeline -- from exploratory ...