https://github.com/karimosman89/energy-consumption-forecasting

Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.
https://github.com/karimosman89/energy-consumption-forecasting

arima lstm matplotlib pandas python scikit-learn

Last synced: 2 months ago
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Predict future energy consumption based on historical data.Create a model that predicts energy consumption in households or businesses to optimize energy distribution and reduce costs.Assist energy companies in planning and managing supply efficiently.

• Host: GitHub
• URL: https://github.com/karimosman89/energy-consumption-forecasting
• Owner: karimosman89
• License: mit
• Created: 2024-10-31T11:56:05.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-05T15:15:54.000Z (over 1 year ago)
• Last Synced: 2025-04-06T20:19:36.258Z (about 1 year ago)
• Topics: arima, lstm, matplotlib, pandas, python, scikit-learn
• Language: Python
• Homepage:
• Size: 9.77 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Energy Consumption Forecasting

This project forecasts energy consumption based on historical data.

## Overview

The model helps in optimizing energy distribution.

## Dataset

- Source: [UCI Individual Household Electric Power Consumption Dataset](https://archive.ics.uci.edu/ml/datasets/individual+household+electric+power+consumption)

## Setup

Install dependencies:

      pip install -r requirements.txt

## Usage

- Run the preprocessing script:

          python src/preprocess.py

- Train the model:

         python src/model.py