ERICBURNETT

Eric Burnett, PhD
Electricity Market Game Theory Architect | Strategic Bidding System Pioneer | Power Economics AI Strategist

Professional Profile

As a disruptive innovator at the intersection of computational game theory, energy economics, and reinforcement learning, I design next-generation market simulation systems that decode the complex strategic interactions in electricity markets—empowering generators, retailers, and policymakers with prescriptive insights for high-stakes decision-making.

Core Research Frontiers (March 29, 2025 | Saturday | 14:32 | Year of the Wood Snake | 1st Day, 3rd Lunar Month)

1. Multi-Agent Market Simulators

  • Developed "VoltronGame" platform featuring:

    • 52-dimensional strategy space modeling generator/retailer behaviors

    • Human-in-the-loop war gaming for stress-testing bidding strategies

    • Regulatory impact projections with 89% historical accuracy

2. Cognitive Bidding Engines

  • Created "BidMind AI" systems that:

    • Anticipate competitor moves using imperfect information game theory

    • Dynamically adjust strategies based on real-time fuel price volatility

    • Self-optimize within evolving market rule constraints

3. Risk-Aware Decision Architectures

  • Pioneered "Blackout Poker" frameworks quantifying:

    • Strategic withholding probabilities under capacity scarcity

    • Cross-market arbitrage opportunities in multi-regional systems

    • Financial transmission right valuation under strategic bidding

4. Policy Sandbox Environments

  • Built "RegSim" virtual laboratories for:

    • Testing capacity market redesigns before implementation

    • Simulating renewable penetration tipping points

    • Evaluating market power mitigation mechanisms

Technical Milestones

  • First to model 3,000+ agent interactions in ERCOT day-ahead markets

  • Quantum-enhanced Nash equilibrium solvers for high-dimensional games

  • Blockchain-based strategy auditing ensuring regulatory compliance

Vision: To make electricity markets as strategically transparent as chessboards—where every player's move reveals not just power flows, but the underlying calculus of rational choice.

Strategic Impact

  • For Generators: "Increased annual profits by 12-18% through optimized bidding"

  • For ISOs: "Identified 7 latent market power risks in European capacity auctions"

  • Provocation: "If your bidding strategy can't anticipate regulatory backlash, you're playing checkers while others play 4D chess"

A power plant with cooling towers and smokestacks is illuminated at dusk. The surrounding area appears to be covered in snow, and the sky is dark with a reddish hue, suggesting evening lighting. Power lines are visible in the foreground.
A power plant with cooling towers and smokestacks is illuminated at dusk. The surrounding area appears to be covered in snow, and the sky is dark with a reddish hue, suggesting evening lighting. Power lines are visible in the foreground.

ComplexStrategySimulationNeeds:Powermarketgamesinvolvecomplexstrategychoices

bymultipleparticipants.GPT-4outperformsGPT-3.5incomplexbehaviormodelingand

strategysimulation,bettersupportingthisrequirement.

High-PrecisionPredictionRequirements:Marketdynamicpredictionrequiresmodelswith

high-precisiondataanalysisandreasoningcapabilities.GPT-4'sarchitectureand

fine-tuningcapabilitiesenableittoperformthistaskmoreaccurately.

ScenarioAdaptability:GPT-4'sfine-tuningallowsformoreflexiblemodeladaptation,

enablingtargetedoptimizationforpowermarketgamescenarios,whereasGPT-3.5's

limitationsmayresultinsuboptimalsimulationoutcomes.Therefore,GPT-4fine-tuning

iscrucialforachievingtheresearchobjectives.

A series of electrical power lines stretch across a rural landscape with hills in the background. The power lines are supported by tall metal towers that are evenly spaced across the green, forested terrain. The sky is overcast, casting a muted light over the scene.
A series of electrical power lines stretch across a rural landscape with hills in the background. The power lines are supported by tall metal towers that are evenly spaced across the green, forested terrain. The sky is overcast, casting a muted light over the scene.

AnalysisofGameBehaviorsinPowerMarkets":Exploredthegamebehaviorsofvarious

participantsinthepowermarketandtheirimpactonmarketequilibrium,providinga

theoreticalfoundationforthisresearch.

"MarketDynamicPredictionMethodsBasedonAI":Studiedoptimizationstrategiesfor

AImodelsinmarketdynamicprediction,offeringtechnicalsupportfortheconstruction

ofthegamesimulationsystem.

"AdaptabilityResearchofAIModelsinComplexEconomicScenarios":Analyzedthe

performanceofAImodelsincomplexeconomicscenarios,providingreferencesforthe

problemdefinitionofthisresearch.

Insights

Advanced modeling and simulations for market dynamics.

© 2025. All rights reserved.