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EnergyDash: Intelligent Energy Consumption Analytics Platform

Project · Analytics · AWS

December Power Consumption
July Power Consumption
Utilizing Machine Learning to Analyze Seasonal Variation in Power Consumption for Suburban Houses in the Sunbelt Region.
Overview

EnergyDash is an analytics platform designed to empower individuals to understand and optimize their household electricity consumption. Integrating real-time data via an API from power providers, it translates complex usage metrics into actionable insights.

Technical Implementation

The back-end of the application leverages AWS Lambda for serverless computation and Kinesis for real-time data streaming. A regression model built with Scikit-Learn analyzes consumption patterns, while the front-end visualization is constructed with Plotly.

consumption
Interactive Dashboard: Facilitating Intelligent Energy Management.
Impact and Value

EnergyDash provides a tailored user experience, enabling households to identify inefficiencies and take control of their energy spending. Through sophisticated analysis and user-friendly visualization, the platform contributes to sustainable living and cost savings.

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