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energy_output_prediction's Introduction

Energy_generation_output_prediction

Bremen Bigdata Challenge 2018 https://bbdc.csl.uni-bremen.de/

Result

Rank: 20/77 Cumulative Absolute Percentage Error: 0.07468

Files

  • train.csv : Training data
  • challenge.csv : Test data(Prediction data should be filled)
  • visualization.ipynb : Simple visualization
  • prediction_model : Prediction modeling

Techniques Used

  • Feature Engineering
  • Stacking
  • Lagged Variables
  • Rolling
  • Cross validation
  • Decision Tree
  • Random Forest
  • Gradient Boosting
  • Light GBM
  • Linear Regression
  • Ridge Regression
  • Multiple Layer Perception

energy_output_prediction's People

Contributors

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