Forecasting

Aims & Scope✦ Inferred from recent articles

This journal publishes research on forecasting across various domains, including climate, finance, energy, and economics. Articles focus on developing and evaluating predictive models, often employing machine learning and deep learning techniques, to forecast phenomena such as drought, commodity prices, heatwaves, stock market volatility, GDP, and disease mortality. The research also addresses methodological aspects of forecasting, including error metrics, data preparation, and the integration of diverse data sources.

AI-summarised from recent articles · verify on publisher page →

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification