Skip to main content

Loudon Energy Analytics

Loudon Energy Analytics provides stochastic grid modeling and electricity market analytics software to help asset owners, utilities, micro-grids, and financial institutions navigate increasingly volatile power markets. The company commercializes ORFEUS, a software system developed at Princeton University, which predicts the exact day and hour of system peak demand and simulates locational market clearing prices. Its tools also support bidding strategy enhancement and scheduling of flexible grid resources.

Traction 6/10
Albany, United States · HQ
Founded 20254100+ followers
  • Energy
  • Data & Analytics
  • Clean Technology
  • Software Only
  • Artificial Intelligence
  • Financial Technology
  • Utilities
Updated 6 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Electricity markets are becoming increasingly volatile as AI-driven load growth, electrification, reindustrialization, and the penetration of intermittent renewable generation destabilize grid predictability. Traditional analysis models fail to account for the stochastic nature of grid conditions, exposing asset owners, utilities, micro-grids, and financial institutions to heightened market risk and missed revenue opportunities.

Solution

Loudon Energy Analytics provides advanced stochastic grid modeling and electricity market analytics software that captures the inherent randomness of grid conditions and market outcomes. The company is commercializing ORFEUS, a software system developed at Princeton University, which enables users to predict the exact day and hour of system peak demand and simulate locational market clearing prices. Its tools help asset owners enhance bidding strategies, grid operators schedule flexible resources to maintain reliability, micro-grids optimize participation in wholesale markets, and financial institutions quantify risks associated with asset acquisitions. The software augments or replaces traditional analysis models with techniques designed for the high-volatility, decarbonized grid.

Target Audience

Primary customers include grid asset owners such as battery storage and renewable operators, utilities and grid operators, micro-grid operators and demand response aggregators, and financial institutions involved in energy asset investment and portfolio management.

Features

  • ORFEUS software system for stochastic modeling of electricity market prices and grid conditions, originally developed under the DOE ARPA-E Perform Project
  • Peak demand prediction capabilities that identify the exact day and hour of system peak load
  • Day-ahead and real-time locational market clearing price projection for asset performance tracking
  • Bidding strategy enhancement through stochastic risk modeling and market outcome simulation
  • Scheduling tools for grid operators to coordinate flexible resources during periods of system volatility
  • Market modeling and optimization for battery storage asset owners, data center operators, and aggregated demand response resources
This profile is AI-generated and may contain inaccuracies.