GitHub

EDEN757/lstm-portfolio-optimization

This software is provided for educational and research purposes only. It is NOT financial advice and should NOT be used for actual trading without: Proper financial licenses and regulatory compliance ...
IEEE

LSTM-BP Model: Enhancing Prediction Accuracy for Medium Earth Orbit Satellites

Abstract: To improve the low accuracy of the SGP4 model in short-term orbit prediction for medium Earth orbit satellites and the instability in LSTM model training, this paper proposes and develops an ...
Scientific Research Publishing

Hybrid PINN-LSTM Model for River Temperature Prediction: A Physics-Informed Deep Learning ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...
IEEE

Electricity Load Forecasting with Bi-LSTM Model Based on Self-Attention Mechanism

Abstract: A novel forecasting model of the bidirectional LSTM with self-attention (Bi-LSTM-SA) is introduced to address the need to upgrade the accurate projection of electrical load forecasting. The ...
Frontiers

Enhancing motion forecasting of ship sailing in irregular waves based on optimized LSTM ...

Irregular waves exhibit complex and erratic behavior, posing significant challenges for accurate short-term ship motion forecasting. Reliable ship navigation depends on precise motion predictions, ...
Frontiers

AB-LSTM: a mesoscale eddy feature prediction method based on an improved Conv-LSTM model

Mesoscale eddies are the most important mesoscale phenomena in the oceans, and determining how to predict their spatial and temporal characteristics is a very challenging task. Most previous studies ...
GitHub

Time-Series-Forecasting-for-Portfolio-Management-Optimization

Task 1: Preprocess and Explore the Data 1.1 Load Historical Data (TSLA, BND, SPY) Using yfinance python CopyEdit import yfinance as yf import pandas as pd import numpy as np import matplotlib.pyplot ...