IEEE

Socially Aware Load Forecasting Utilizing Large Language Models

Abstract: Accurate residential load forecasting is crucial for power system management, and incorporating socio-demographic information can significantly enhance prediction accuracy. However, ...
IEEE

Deep Learning for Time-Series Forecasting With Exogenous Variables in Energy Consumption: A Performance and Interpretability Analysis

Abstract: The rise of decentralized energy sources and renewables demands advanced grid planning, with short-term load forecasting (STLF) playing a crucial role. Energy demand in smart grids is highly ...
GitHub

Store Sales Forecasting — CRISP-DM Tutorial

This project follows the CRISP-DM methodology to build a sales forecasting system for Favorita, an Ecuadorian grocery retail chain. It uses the Kaggle Store Sales — Time Series Forecasting dataset.