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salmansust / Machine-Learning-TSF-Petroleum-Production

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Time series forecasting (TSF) is the task of predicting future values of a given sequence using historical data. Recently, this task has attracted the attention of researchers in the area of machine learning to address the limitations of traditional forecasting methods, which are time-consuming and full of complexity. With the increasing availab…

python machine-learning deep-neural-networks time-series artificial-intelligence-algorithms time-series-prediction deeplearing time-series-forecasting petroleum-engineering petroleum-production-performance petroleum-dataset
  • Updated Mar 24, 2019
  • Python

nrdnay / eia-Petroleum-Products-Consumption-Production

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This project examined Global Production and Consumption Quantities of Refined Petroleum Products using EIA data. The data was visualized, yielding meaningful results. Deep learning and machine learning predict models were developed to predict US future consumption. For Turkish Article : https://medium.com/@aydogdunurdan

data-science machine-learning deep-learning random-forest linear-regression data-visualization xgboost data-analysis predictive-modeling carbon-emissions petroleum energy-consumption lstm-neural-networks prediction-model energy-management prophet-model oil-and-gas petroleum-science petroleum-dataset petroleum-consumption-analysis
  • Updated Jul 28, 2025
  • Jupyter Notebook

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