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System Status
Online: 3K+ Agents Active
Digital Worker 10 AI Agents Active

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.

10 AI Agents
7 Tech Stack
AI Orchestrated
24/7 Available
Worker ID: ai-energy-audit-worker

Problem Statement

The challenge addressed

Traditional energy audits are expensive, time-consuming (weeks to complete), require specialized consultants, and often produce static reports without real-time market intelligence or predictive insights. Small and medium facilities frequently cannot...

Solution Architecture

AI orchestration approach

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...
Interface Preview 4 screenshots

AI-Powered Energy Audit input form with multi-agent system architecture and company profile setup

AI Orchestration dashboard showing real-time agent progress with product matching workflow at 30% completion

Energy audit results summary identifying 35% reduction opportunity with detailed financial projections and ROI analysis

Executive summary with investment recommendations, returns projection, and phased implementation plan

Multi-Agent Orchestration

AI Agents

Specialized autonomous agents working in coordination

10 Agents
Parallel Execution
AI Agent

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.

ACTIVE #1
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AI Agent

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.

ACTIVE #2
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AI Agent

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.

ACTIVE #3
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AI Agent

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.

ACTIVE #4
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AI Agent

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.

ACTIVE #5
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AI Agent

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.

ACTIVE #6
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AI Agent

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.

ACTIVE #7
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AI Agent

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.

ACTIVE #8
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AI Agent

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.

ACTIVE #9
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AI Agent

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).

ACTIVE #10
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Technical Details

Worker Overview

Technical specifications, architecture, and interface preview

System Overview

Technical documentation

The AI Energy Audit Worker transforms facility energy analysis through intelligent agent orchestration. It ingests utility data, equipment inventories, and operational parameters to produce comprehensive audit reports including consumption pattern analysis, efficiency recommendations, product matching, financial modeling, and rebate discovery. The system delivers professional-grade results efficiently.

Tech Stack

7 technologies

RxJS for reactive streaming and agent coordination

Claude 3.5 Sonnet API for reasoning capabilities

Time-series processing libraries for consumption analysis

Statistical modeling for forecasting (ARIMA, Holt-Winters)

Product catalog API with efficiency ratings

Rebate database integration (federal, state, utility programs)

Financial modeling engine with NPV/IRR calculations

Architecture Diagram

System flow visualization

AI Energy Audit & Efficiency Analyzer Architecture
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