Predictive analysis comparison of energy stock prices using machine learning models

• المؤلف الرئيسي: Valentino, Egan
• مؤلفون آخرون: Wong Jia Yiing, Patricia
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2023
• الموضوعات: Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/167817
• المؤسسة: 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...