LoadForecasting

Load Forecasting

Using LSTMS and Flask!
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Table of Contents

• About the Project
  • Built With
• Roadmap
• Contributing
• Contact

About The Project

Load forecasting is really required for an electrical organization or a government body so they can buy the necessary shares in case of a heavy demand of power.
Here's why:

• Basically saves a lot of time
• Can know beforehand if there will be a power shortage

Of course, even this is not 100% accurate.I tried to reduce the loss to a max of 5%

Built With

This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

• Python3
• Dash
• tensorflow

Installation

2. Clone the repo

git clone https://github.com/JoyMichael7842/LoadForecasting.git

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Contact

Your Name - [Joy Michael] - [email protected]

Project Link: https://github.com/JoyMichael7842/LoadForecasting