Smart Home Energy Optimization
An advanced data engineering pipeline leveraging real-time data processing,
machine learning, and automated optimization for intelligent energy management.
Python
Real-time ETL
Machine Learning
Time Series Analysis
REST API
Data Pipeline
View on GitHub
2
Data Sources Integrated
System Architecture
graph LR
%% Styling
classDef source fill:#FF6B6B,stroke:#FF6B6B,stroke-width:2px,color:white,font-weight:bold
classDef process fill:#4ECDC4,stroke:#4ECDC4,stroke-width:2px,color:white,font-weight:bold
classDef storage fill:#45B7D1,stroke:#45B7D1,stroke-width:2px,color:white,font-weight:bold
classDef ml fill:#A78BFA,stroke:#A78BFA,stroke-width:2px,color:white,font-weight:bold
classDef output fill:#10B981,stroke:#10B981,stroke-width:2px,color:white,font-weight:bold
%% Data Sources
DS[Data Sources]:::source --> ETL[ETL Pipeline]:::process
WA[Weather API]:::source --> ETL
SM[Smart Meter]:::source --> ETL
%% Processing Layer
ETL --> TS[Time Series DB]:::storage
ETL --> Cache[Cache Layer]:::storage
%% Analysis Layer
TS --> PD[Pattern Detection]:::ml
Cache --> RT[Real-time Analysis]:::ml
PD --> ML[ML Models]:::ml
RT --> ML
%% Output Layer
ML --> API[REST API]:::output
API --> DASH[Dashboard]:::output
API --> OPT[Optimization Engine]:::output
Implementation Roadmap
graph TD
classDef phase fill:#FF6B6B,stroke:#FF6B6B,stroke-width:4px,color:white,font-weight:bold,font-size:18px
classDef module fill:#4ECDC4,stroke:#4ECDC4,stroke-width:4px,color:white,font-weight:bold,font-size:16px
%% Top Row - Scale nodes with more content
F[🚀 Foundation
Module]:::phase --> |Data Flow| A[🧠 Analytics
Module]:::phase
%% Bottom Row
I[⚡ Integration
Module]:::phase --> |User Flow| U[📊 UI/Dashboard
Module]:::phase
%% Vertical Connections with descriptive labels
F --> |Processing| I
A --> |Results| U
%% Components in each module with emojis and detailed text
F --> F1[🔄 ETL Pipeline
Data Storage
API Integration]:::module
A --> A1[📈 ML Models
Time Series
Predictions]:::module
I --> I1[🔌 API Layer
Testing
Deployment]:::module
U --> U1[💫 Dashboard
Monitoring
Alerts]:::module
%% Style overrides for better visibility
style F fill:#FF61D2,stroke:#FF61D2,color:#fff
style A fill:#4D96FF,stroke:#4D96FF,color:#fff
style I fill:#6C4AB6,stroke:#6C4AB6,color:#fff
style U fill:#00D7FF,stroke:#00D7FF,color:#fff
%% Module styling
style F1 fill:#FF92E3,stroke:#FF92E3,color:#fff
style A1 fill:#72AAFF,stroke:#72AAFF,color:#fff
style I1 fill:#8B6AD6,stroke:#8B6AD6,color:#fff
style U1 fill:#45E3FF,stroke:#45E3FF,color:#fff
%% Link styling
linkStyle 0,1,2,3,4,5,6,7 stroke-width:3px,fill:none,stroke:#FFB6C1
Development Phases
graph TB
%% Styling
classDef phase fill:#8B5CF6,stroke:#8B5CF6,stroke-width:2px,color:white,font-weight:bold
classDef task fill:#EC4899,stroke:#EC4899,stroke-width:2px,color:white,font-weight:bold
%% Foundation Phase
F[Foundation Phase
Weeks 1-4]:::phase --> F1[Data Source
Integration]:::task
F --> F2[Storage Layer
Setup]:::task
F --> F3[Basic ETL
Pipeline]:::task
%% Core Phase
C[Core Phase
Weeks 5-8]:::phase --> C1[Stream
Processing]:::task
C --> C2[Pattern
Detection]:::task
C --> C3[Basic ML
Models]:::task
%% Advanced Phase
A[Advanced Phase
Weeks 9-12]:::phase --> A1[Advanced
Analytics]:::task
A --> A2[Optimization
Engine]:::task
A --> A3[API
Development]:::task
%% Final Phase
D[Delivery Phase
Weeks 13-16]:::phase --> D1[Dashboard
Development]:::task
D --> D2[Testing &
Optimization]:::task
D --> D3[Documentation &
Deployment]:::task
%% Connections
F --> C
C --> A
A --> D
Technical Stack
%%{init: {'theme':'forest'}}%%
mindmap
root((🔋 Energy
System))
[📊 Data Pipeline]
(🌤️ Weather API)
(📈 Smart Meter)
(🔄 ETL Process)
[💾 Storage]
(📀 SQLite)
(📊 Time Series)
(⚡ Cache Layer)
[🧠 Analytics]
(🔍 Pattern Detection)
(📉 Forecasting)
(⚙️ Optimization)
[🎯 Interface]
(🔌 REST API)
(📱 Dashboard)
(🔔 Alerts)
Data Collection Engine
Weather API Integration
Real-time weather data collection and processing pipeline with automated ETL workflows.
Python
REST API
Async IO
Smart Meter Data Pipeline
High-performance data collection system for real-time energy consumption metrics.
Stream Processing
Time Series DB
Data Processing & Storage
ETL Pipeline Architecture
Scalable ETL system with data validation, transformation, and efficient storage mechanisms.
Apache Airflow
SQLite
pandas
Real-time Processing Engine
Stream processing implementation for real-time data analysis and instant insights.
Kafka
Redis
Analytics & ML Pipeline
Pattern Detection System
Advanced analytics engine for identifying energy consumption patterns and anomalies.
scikit-learn
NumPy
Prophet
Predictive Models
ML models for energy usage forecasting and optimization recommendations.
TensorFlow
Time Series
Visualization & API
REST API Implementation
Robust API endpoints for data access and system integration.
FastAPI
Swagger
JWT Auth
Interactive Dashboard
Real-time visualization dashboard for energy consumption insights.
Plotly
D3.js
React