AI Energy Audit & Efficiency Analyzer
Deploys a multi-agent AI system with 10 specialized agents that process facility data, utility bills, and equipment inventories to generate comprehensive energy audits in minutes. Agents use ML algorithms (ARIMA, Holt-Winters for forecasting, IQR for anomaly detection, cosine similarity for product matching) and Monte Carlo simulation for financial modeling to deliver professional-grade audit reports with ROI projections and rebate discovery.
Problem Statement
The challenge addressed
Solution Architecture
AI orchestration approach
AI Agents
Specialized autonomous agents working in coordination
Workflow Coordinator
Complex energy audits require coordinating multiple analysis streams (consumption, sustainability, product matching, financial) with proper data dependencies and synthesis.
Core Logic
Manages DAG-based workflow optimization across all audit agents. Coordinates parallel execution where possible, manages data handoffs between dependent agents, monitors progress through real-time status streams, handles errors gracefully, and synthesizes results into a coherent audit report structure.
Energy Pattern Analyst
Raw utility data contains hidden patterns, anomalies, and inefficiencies that require sophisticated statistical analysis to identify.
Core Logic
Analyzes consumption patterns using ML and statistical methods. Applies ARIMA and Holt-Winters for demand forecasting, uses IQR-based anomaly detection to identify unusual consumption events, performs seasonal decomposition, benchmarks against industry standards, and generates consumption profiles with efficiency scores.
Carbon & ESG Analyst
Organizations need to understand their carbon footprint and sustainability opportunities but lack tools to translate energy consumption into environmental impact metrics.
Core Logic
Calculates carbon footprint using EPA emission factors and regional grid intensity data. Identifies sustainability improvement opportunities, estimates carbon reduction potential from efficiency measures, generates ESG metrics for reporting, and creates roadmaps for sustainability targets.
B2B Supplier Matcher
Matching facility needs with optimal supplier partnerships requires understanding supplier capabilities, pricing structures, and service offerings across the market.
Core Logic
Uses collaborative filtering algorithms to match facility profiles with optimal suppliers. Analyzes supplier performance metrics, pricing competitiveness, service coverage, and specialization areas. Generates supplier recommendations ranked by fit score with rationale.
Efficiency Product Recommender
Identifying the right energy-efficient replacement products from a catalog of 50,000+ SKUs requires matching technical specifications with efficiency gains and cost considerations.
Core Logic
Uses cosine similarity matching to identify optimal efficiency products from the catalog. Compares current equipment specifications with available upgrades, calculates energy savings potential, considers compatibility requirements, and ranks recommendations by ROI with detailed product specifications.
Equipment Health Analyst
Equipment failures cause unexpected downtime and emergency replacement costs. Predicting failures before they occur enables proactive maintenance and budgeting.
Core Logic
Applies survival analysis algorithms to predict equipment failure probabilities based on age, usage patterns, and maintenance history. Identifies high-risk equipment, recommends maintenance schedules, estimates remaining useful life, and prioritizes replacement recommendations by failure risk.
Energy Market Intelligence
Energy markets fluctuate significantly, and optimal procurement timing can yield substantial savings that traditional audits cannot capture.
Core Logic
Analyzes real-time energy market data including spot prices, futures, and demand forecasts. Identifies pricing opportunities, recommends procurement timing strategies, tracks regulatory changes affecting rates, and projects future energy costs under different scenarios.
ROI & Financial Analyst
Justifying energy efficiency investments requires sophisticated financial analysis that accounts for uncertainty in savings projections and market conditions.
Core Logic
Calculates comprehensive financial projections using Monte Carlo simulation for uncertainty quantification. Generates NPV, IRR, and payback period calculations for each recommendation. Models different scenarios, accounts for financing options, and creates executive-ready financial summaries.
Incentive Discovery Agent
Available rebates and incentives from federal, state, and utility programs are complex, frequently changing, and often missed by facilities, leaving money on the table.
Core Logic
Searches comprehensive rebate databases across federal programs (IRA tax credits), state incentives, and utility rebate programs. Matches facility location and planned improvements with eligible incentives, calculates rebate values, checks eligibility requirements, and generates application guidance.
Report Compiler
Synthesizing findings from multiple analysis streams into a coherent, actionable executive report requires structured compilation and prioritization.
Core Logic
Compiles findings from all agents into structured executive reports. Prioritizes recommendations by ROI and implementation ease, generates executive summaries, creates detailed appendices with supporting data, and formats output for multiple audiences (executive, technical, financial).
Worker Overview
Technical specifications, architecture, and interface preview
System Overview
Technical documentation
Tech Stack
7 technologies
Architecture Diagram
System flow visualization