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energy

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This repository contains codes developed in Python which deals with smart meter analytics. Building consumption dataset from Pecan Street Dataport was obtained along with temperature and irradiance data. The dataset was used to build machine learning models using linear regression, random forest deicision tree, Neural networks and Support vector…

  • Updated Dec 22, 2018
  • Jupyter Notebook

This repository provides tools for forecasting Great Britain’s power demand using Facebook’s Prophet model. It includes Python functions and Jupyter notebooks for daily and monthly forecasts, integrating weather and GDP as regressors, with hyperparameter tuning via HyperOpt.

  • Updated Oct 17, 2024
  • Jupyter Notebook

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