IEEE

An LSTM Wind Power Prediction Model Based on PCA Dimensionality Reduction and Wavelet Decomposition

Abstract: This paper introduces a wind power prediction method based on LSTM neural network. The method uses principal component analysis (PCA) to downscale climate data, and then uses wavelet ...
IEEE

Optimized Data Preprocessing and Dimensionality Reduction Framework for FPGA-Based Embedded Systems Using Hybrid Sparse-Probabilistic PCA

Abstract: The main aim of traditional data preprocessing in embedded systems often prioritizes accuracy at the cost of latency and energy efficiency. This paper proposes a novel FPGA-based data ...