AI Driven Crude Oil Price Prediction Using Lo...

AI Driven Crude Oil Price Prediction Using Long Short-Term Memory (LSTM)

Author Name : P. Neeraja, B. Kavya, T. Kaushik, K. Abhi Charan, Mrs. K. Komali

ABSTRACT : The "AI-Driven Crude" employs CNN and LSTM models in particular to estimate crude oil prices more accurately. It employs pandas, Matplotlib, NumPy, and Keras for data handling and model creation in model training. It takes into account the Kaggle Oil Prices Dataset for historical data analysis. To increase forecasting reliability, the study applies feature engineering, hyperparameter adjustment, and model interpretation. Assessing prediction risks is done by uncertainty quantification techniques, and model performance is measured by evaluation metrics like loss and MAE. Through the provision of sophisticated insights into the dynamics of the crude oil market, this research demonstrates AI's potential to enhance decision-making in the energy sector.