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Architecture Overview

The Qubit Foundation employs a comprehensive six-layer architecture designed to handle the full lifecycle of energy data - from ingestion and processing to optimization and user interaction. Each layer builds upon the previous, creating a robust, scalable infrastructure for the energy transition.

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The Six-Layer Stack

1

Layer 1: Data Foundation

Standardization and IngestionThe foundational layer that establishes common data models and ingests information from diverse energy sources.
  • Schemas: Universal JSON Schema definitions for all energy data types
  • Connectors: Protocol-specific adapters for MQTT, OCPP, Modbus, and more
  • Adapters: Data transformation, normalization, and validation
Status: In Production
2

Layer 2: Prediction Engine

AI-Powered ForecastingProduction-ready machine learning models that predict energy generation, consumption, and grid conditions.
  • Solar generation forecasting with weather integration
  • Demand and load prediction with behavioral patterns
  • Feature engineering for energy time series
  • Sub-second inference with confidence intervals
Status: In Production
3

Layer 3: Optimization Engine

Intelligent Resource ManagementMathematical optimization algorithms that determine optimal resource allocation and scheduling.
  • Battery storage dispatch optimization
  • EV charging schedule coordination
  • Energy trading strategy optimization
  • Grid congestion management
Status: In Development
4

Layer 4: Coordination Layer

Distributed System OrchestrationReal-time coordination protocols that enable large-scale distributed energy resource management.
  • Peer-to-peer energy trading protocols
  • Virtual power plant coordination
  • Grid services aggregation
  • Multi-stakeholder consensus mechanisms
Status: Research Phase
5

Layer 5: Settlement Layer

Economic Verification and SettlementCryptographically secure systems for energy transaction verification and economic settlement.
  • Blockchain-based energy certificates
  • Automated payment and settlement
  • Carbon credit tracking and verification
  • Renewable energy credit management
Status: Research Phase
6

Layer 6: Interface Layer

User Experience and APIsIntuitive interfaces and APIs that make energy data accessible to end users, developers, and applications.
  • Developer APIs and SDKs
  • Consumer mobile and web applications
  • Utility operator dashboards
  • Third-party integration endpoints
Status: Planning Phase

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Data Flow

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Design Principles

Modularity

Each layer is independently deployable and can be replaced or upgraded without affecting others

Scalability

Designed to handle billions of devices and exabytes of data with horizontal scaling

Interoperability

Open standards ensure compatibility across vendors, protocols, and implementations

Security

End-to-end encryption, zero-trust architecture, and cryptographic verification

Real-time

Sub-second latency for critical grid operations and millisecond optimization cycles

Open Source

Community-driven development with transparent governance and open licensing

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Technology Stack

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Core Technologies

  • Languages: Python, Rust, TypeScript
  • Databases: InfluxDB, PostgreSQL, Redis
  • Protocols: MQTT, OCPP, Modbus TCP/RTU, DNP3
  • Standards: JSON Schema, OpenAPI, IEC 61850

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Deployment Models

The Qubit Foundation architecture supports multiple deployment patterns:

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Cloud-Native

  • Full stack deployment on AWS, GCP, or Azure
  • Auto-scaling and managed services
  • Global edge deployment for low latency

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Hybrid

  • Critical components on-premises
  • Non-critical processing in the cloud
  • Data sovereignty compliance

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Edge-First

  • Local processing for real-time requirements
  • Minimal cloud dependencies
  • Offline operation capabilities

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Community

  • Distributed deployment across participants
  • Shared infrastructure costs
  • Collective ownership model

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Integration Patterns

The Qubit Foundation is designed for production energy systems. Always follow proper safety protocols and testing procedures when integrating with live grid infrastructure.
Common integration approaches:
  1. Schema-First: Start with standardized data models
  2. Connector-Based: Use protocol-specific adapters
  3. API-Driven: RESTful and GraphQL interfaces
  4. Event-Streaming: Real-time data pipelines
  5. Batch Processing: Historical data analysis

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Performance Characteristics

Qubit Foundation Performance Metrics
The architecture is designed to handle:
  • Throughput: 10M+ messages per second per node
  • Latency: Sub-millisecond for critical operations
  • Scale: Billions of connected devices
  • Availability: 99.99% uptime with automatic failover
  • Storage: Exabyte-scale time-series data

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Security Model

All Qubit Foundation components implement zero-trust security by default, with end-to-end encryption and cryptographic verification at every layer.
Security is built into every layer:
  • Layer 1: Device authentication, data encryption, schema validation
  • Layer 2: Model integrity verification, secure computation
  • Layer 3: Optimization result verification, tamper-proof algorithms
  • Layer 4: Byzantine fault tolerance, cryptographic consensus
  • Layer 5: Smart contract audits, economic security mechanisms
  • Layer 6: OAuth 2.0, API rate limiting, user privacy controls

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Next Steps

Ready to start building? Begin with Layer 1 Data to establish your foundation:

Get Started with Layer 1

Set up schemas, connectors, and adapters for your energy data
 Or explore specific layers based on your needs:

Data Standards

Universal energy data models

Device Integration

Connect any energy asset

Data Processing

Transform and validate data