This repository holds the codebase for our project developed during the VISAI hackathon. Our project focuses on power consumption forecasting and recommendation systems, utilizing the capabilities of LSTM (Long Short-Term Memory) Neural Networks.
The data in this repository is organized into two main categories: overall power consumption measured with smart meters and individual plug power consumption data. The data is sampled at a rate of 1Hz.
Explore the data documentation to understand the dataset structure: 01_doc.txt, READ_ME_FIRST.txt
The dataset folder includes the implementation of a PyTorch dataset, which is essential for loading the sequences required for training.
To get started with our project, follow these steps:
Clone the repository to your local machine:
git clone https://github.com/ponakilan/VISAI.git
Navigate to the project directory:
cd VISAI