/ASHRAE---Great-Energy-Predictor-III

Develop accurate models for the global association Ashrae of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe.

Primary LanguageJupyter Notebook

kaggle logo association-logo

Kaggle project : ASHRAE---Great-Energy-Predictor-III

This is my first contribution to kaggle competitions. In this competition, We are demanded to develop accurate models of metered building energy usage in the following areas: chilled water, electric, hot water, and steam meters. The data comes from over 1,000 buildings over a three-year timeframe. With better estimates of these energy-saving investments, large scale investors and financial institutions will be more inclined to invest in this area to enable progress in building efficiencies.

img-competition

Built With 🔨

  • Kaggle platform
  • Python
  • Keras
  • Scikit-Learn
  • Xgboost.

Live Demo

Live Demo Link

Install

To get a local copy up and running follow these simple example steps.

  • Open terminal
  • Clone this project by the command:
$ git clone git@github.com:Taher-web-dev/ASHRAE---Great-Energy-Predictor-III.git
  • Then go to the main folder using the next command:
$ cd ASHRAE---Great-Energy-Predictor-III

Prerequisites

  • IDE to edit and run the code (We use Jupyter Notebook 🔥).
  • Git to versionning your work.

Usage

  • Data scientist practioner
  • For anyone interested by the topic of building energy consumption.

Authors

👤 Taher Haggui

🤝 Contributing

Contributions, issues, and feature requests are welcome!

Show your support

Give a ⭐️ if you like this project!

Acknowledgments

📝 License

This project is ASHRAE licensed.