IEEE

LSTM Based Model Predictive Control Approach for Energy Management System in PV-Battery Integrated Microgrid Network

Abstract: This paper proposes an intelligent energy management system in grid-connected microgrid with renewable energy and battery storage systems. The battery charging and discharging strategy is ...
GitHub

LSTM as a dynamical system

This example explains how an LSTM (Long Short-Term Memory) layer can be seen as a nonlinear dynamical system with a specific structure, and sheds some light on whether, and how, an LSTM layer can ...
C&EN

Deep Learning Approach for Robust Prediction of Reservoir Bubble Point Pressure

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
IEEE

A Long-Short Term Memory Network for Chaotic Time Series Prediction

Abstract: This paper demonstrates the development of an Long-Short Term Memory (LSTM) network and its application for predicting Chaotic Time Series (CTS). LSTM is a Deep Learning (DL) architecture ...
GitHub

Vel_To_Con_LSTM4.m

subplot(231);plot(p1,p2,'k','Linewidth',2); title('Position Base');hold on; xlim([-0.04 0.04]); % subplot(232);plot(P1,P2,'m','Linewidth',2); title('Position CW ...
Frontiers

A One-Dimensional CNN-LSTM Model for Epileptic Seizure Recognition Using EEG Signal Analysis

Frequent epileptic seizures cause damage to the human brain, resulting in memory impairment, mental decline, and so on. Therefore, it is important to detect epileptic seizures and provide medical ...