Predictive analysis comparison of energy stock prices using machine learning models

• Main Author: Valentino, Egan
• Other Authors: Wong Jia Yiing, Patricia
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/167817
• Institution: Nanyang Technological University

Recurrent neural networks (RNN), Long Short-Term Memory (LSTM), and Auto Regressive Integrated Moving Average (ARIMA) are some of the machine learning models that have demonstrated potential in forecasting temporal sequences, including the prices of stocks or commodities, by analyzing past data and...