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Energence

Energence is a comprehensive platform designed to optimize renewable energy usage. It leverages machine learning models to predict solar and wind power generation, allowing for better grid management and efficiency.

Source Code

Core Technology

ReactDjangoTensorFlowPostgreSQLRedis

System Design

Scalable Prediction Engine

  • •Decoupled ML inference service using Celery for asynchronous task processing.
  • •Redis caching layer to store recent predictions and reduce database load.
  • •REST API design for seamless frontend-backend communication.

Architecture

Microservices architecture separating the ML prediction engine from the user-facing dashboard. Data ingestion pipeline processes real-time weather data.

Architecture Diagram Placeholder

Key Features

01

Real-time energy generation forecasting

02

Interactive data visualization dashboards

03

Historical data analysis