Loudon Energy Analytics provides stochastic grid modeling and electricity market analytics software to help energy asset owners, grid operators, micro-grids, and financial institutions manage volatility and maximize revenues. The company is commercializing ORFEUS, a modeling system developed at Princeton University that predicts peak demand timing and incorporates grid intermittency into market forecasting. Its tools support bidding strategy optimization, demand response scheduling, and investment due diligence.
Funding
Funding not disclosed
Founders
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