IEEE

Blind Unmixing Using Dispersion Model-Based Autoencoder to Address Spectral Variability

Abstract: Over the past few decades, researchers have proposed various hyperspectral unmixing (HU) methods. Among these methods, deep learning (DL) has emerged as a promising approach for HU, ...
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 ...