IEEE

Short-Term Load Forecasting Using STL Decomposition and Stacking Ensemble Learning

Abstract: This paper proposes a short-term load forecasting model combining Seasonal-Trend decomposition using Loess (STL decomposition) and Stacking ensemble learning. The method decomposes power ...
GitHub

OpenSky Flight Data Pipeline

This project fetches live flight telemetry data from the OpenSky Network API, processes and cleans it using Python, and stores structured flight information in a PostgreSQL database. It exposes a ...
IEEE

A Comprehensive Review of the Short-Term Load Forecasting Techniques Using Different Models

Abstract: Load forecasting is vital for efficient power system management, enabling accurate predictions of future electricity demand. This capability optimizes operations like operational planning ...