GitHub

Energy consumption prediction using LSTM/GRU networks in PyTorch

An hourly energy consumption prediction service for PJM Interconnection LLC Energy Consumption dataset based on GRU/LSTM networks using PyTorch framework. In this project, I will use GRU and LSTM ...
GitHub

Advanced Time Series Forecasting with Neural Networks and Explainability

Goal: Multivariate time series forecasting using PyTorch LSTM + Self-Attention, plus explainability (SHAP / Integrated Gradients). Deliverables: Code, data generator, training & evaluation scripts, ...
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

Channel Estimation Using CNN-LSTM in RIS-NOMA Assisted 6G Network

Abstract: The combination of non-orthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) technologies is proposed to meet the demands of data rate, latency, and connectivity in ...