Leveraging AI for Accurate Time Series Forecasting
Asif Ehsan · International Journal for Global Academic & Scientific Research · 2025
This project endeavors to create a model for forecasting time series data, focusing on complex temporal datasets. Such predictions heavily rely on historical data and are integral to unsupervised machine learning. By integrating deep learning techniques such as neural networks, the project aims to develop strategies that yield more precise outputs compared to conventional time series models. These advanced approaches are adept at addressing the intricacies involved in forecasting weather patterns, energy consumption, and financial market trends. Among these methods, Artificial Neural Networks have shown superior performance over alternatives like Long Short-Term Memory networks.