IEEE

Improved 3-D LSTM: A Video Prediction Approach to Long Sequence Load Forecasting

Abstract: Power load forecasting is the foundation of maintaining power grid stability, and can assist in decision-making to reduce operating costs. Fine-grained long sequence load forecasting ...
IEEE

A Hybrid LSTM-Transformer Model for Power Load Forecasting

Abstract: This paper introduces a novel optimized hybrid model combining Long Short-Term Memory (LSTM) and Transformer deep learning architectures designed for power load forecasting. It leverages the ...
GitHub

PaulOk262/Machine-Learning-Collection-tutorial

In this repository you will find tutorials and projects related to Machine Learning. I try to make the code as clear as possible, and the goal is be to used as a learning resource and a way to lookup ...
GitHub

CLAM: CNN-LSTM-AM Stock Price Prediction Model

This project implements CLAM (CNN-LSTM-AM), a hybrid deep learning model combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM) networks, and an Attention Mechanism (AM) for ...