Predictive analysis comparison of energy stock prices using machine learning models

• 主要作者: Valentino, Egan
• 其他作者: Wong Jia Yiing, Patricia
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2023
• 主題: Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/167817

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...