https://github.com/rishmi5h/final-year-project

Load Forecasting using LSTM.
https://github.com/rishmi5h/final-year-project

Last synced: about 2 months ago
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Load Forecasting using LSTM.

• Host: GitHub
• URL: https://github.com/rishmi5h/final-year-project
• Owner: rishmi5h
• Created: 2021-04-21T13:27:11.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-08-28T20:48:07.000Z (4 months ago)
• Last Synced: 2024-08-28T22:10:11.260Z (4 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 2.39 MB
• Stars: 4
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# final-year-project

### [Presentation link](https://drive.google.com/file/d/1nBQQUfHQqdP92OzcVOUmt2RFXrVNy6Sf/view)

In my final year project for electrical engineering i had done load forecasting using many techniques.

dataset used - [Hourly energy demand and generation](https://www.kaggle.com/nicholasjhana/energy-consumption-generation-prices-and-weather)

Models used



AutoRegressive



Moving Average



ARMA



ARIMA



LSTM

 

   

 

 Libraries used : Keras, Statsmodel, pandas, numpy, matplotlib, seaborn