AI Analysis

Overview


The AI Analysis step leverages advanced machine learning algorithms to analyze your project requirements and provide optimized recommendations for your solar installation.



Components


The AI analysis system consists of three main components:

  1. OpenAI Integration
  2. GPT-3.5 Turbo model for natural language processing
  3. JSON-structured response format

  4. Rate-limited API calls with exponential backoff

  5. Business Analysis Engine

  6. ROI calculations
  7. Payback period estimation
  8. Carbon offset metrics




Backend Processing Flow



1. Initial Analysis

  • System receives project data including:
  • Power requirements
  • Location information
  • Application type
  • Data validation and normalization
  • API connection management with retry logic



2. OpenAI Processing

  • Structured prompt generation
  • Multiple analysis attempts with fallback options
  • Response parsing and validation
  • Implementation includes:
    • Retry logic with exponential backoff
    • Error handling and fallback calculations
    • Response format validation
    • Data sanitization



Core Algorithms


1. ROI Analysis


Basic Formula

annual_production = system_size * solar_hours * 365 * efficiency
annual_savings = annual_production * electricity_rate
payback_period = installation_cost / annual_savings


2. System Size Optimization


def calculate_system_size(power_needs):
    return power_needs * 1.2  # 20% margin for future growth




AI Integration Details


1. OpenAI Implementation

  • Uses SolarAIAssistant class for processing
  • Implements retry mechanism:
  • Maximum 3 retries
  • Exponential backoff (1s, 2s, 4s)
  • Graceful fallback to basic calculations


2. Business Analysis

  • Leverages BusinessAnalyzer class
  • Processes include:
  • Installation cost estimation
  • Maintenance cost projection
  • Tax incentive analysis
  • Environmental impact calculation




Fallback Calculations


1. Basic Metrics

  • Installation Cost = Power Needs * 1000 * $2.5/watt
  • Annual Production = Power Needs * 4 hours * 365 days
  • Maintenance Cost = 0.5% of installation cost annually


2. Conservative Estimates

  • Daily Production = Power Needs * 4 hours
  • Annual Savings = Power Needs * 800
  • Carbon Offset = Power Needs * 4.33 tons/year

This comprehensive AI analysis ensures accurate and reliable recommendations for your solar installation project, with built-in redundancy through fallback calculations when needed.