FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

Abstract: This paper presents a novel, explainable, and weather-independent day-ahead load forecasting (DALF) method. The proposed methodology integrates calendar-based segmentation using ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

Abstract: Frequent occurrences of marine extreme climate and weather events pose significant threats to human life and property, underscoring the practical significance of meteorological data ...