SIH-SmartAutomation-Electricity-AI-Consumption

This project is aimed at utilizing AI and automation to monitor and predict electricity consumption in a smart and efficient manner. - Team NEOM

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Technologies Used

Introduction

The SIH-SmartAutomation-Electricity-AI-Consumption Prototype system leverages artificial intelligence to efficiently predict and manage electricity consumption in smart buildings. The goal is to help users optimize energy usage, save costs, and contribute to sustainability.

Screenshots

Features

• Predict electricity consumption based on historical data.
• Predict usage of Renewable Energy.
• Monitor real-time electricity usage.
• Automated reporting and insights on consumption patterns.
• Scalability for large buildings and multiple systems.

Installation

To get the project up and running, follow these steps:

1. Clone the repository:

   git clone https://github.com/OmAmar106/SIH-SmartAutomation-Electricity-AI-Consumption.git

2. Navigate to the project directory:

   cd SIH-SmartAutomation-Electricity-AI-Consumption

3. Install dependencies using pip:

   pip install -r requirements.txt

Usage

1. Run the application:

   python app.py

2. The system will start monitoring electricity consumption and provide predictions and insights.

Technologies Used

• Python: Core programming language.
• Flask: Web framework for building the user interface and API.
• Prophet: For building machine learning models.
• Pandas: Data manipulation and analysis.
• Numpy: Numerical operations and matrix manipulations.