Case Study

In this study we examine the impact of integrating a fleet of Enoda PRIME® Exchangers (“Prime Exchangers”) coordinated by Enoda ENSEMBLE™ into the Texas grid through the Business As Usual (“BAU”) case.

BAU operation of around 25,000 400kVA Prime Exchangers can allow for reduction of up to 3,855.8 tonnes of CO2 in the Regulation-Up market (“RegUp”) on June 21st, 2023. This fleet of 25,000 devices would have been sufficient on this day to completely saturate the regulation up market.
Such a fleet would have reduced carbon emissions of just one of the frequency and ancillary services, RegUp, by 54%, and would also enable Texans to benefit from Enoda’s ability to provide these services at lowest marginal cost.

Exploring Causality Between Artificial Intelligence and Economic Capacity

AI’s benefits from a positive feedback loop from several key effects. User adoption and network effects increase data availability enhancing AI capabilities. A history of results from previous queries improve the reliability of generated content.

Andrew Scobie 14/03/2025 Andrew Scobie 14/03/2025

Implications of Condorcet’s Theory for Decision Making in Autonomous AI Fleets Coordinated by Price Signals

Condorcet’s Jury Theorem provides insights into the collective decision-making capabilities of groups under certain conditions. This paper explores the implications of Condorcet’s theory when applied to fleets of autonomous AI devices coordinated by price signals.