On October 26, the 2026 International Computing-Power Coordination Industry Chain Exhibition (CPE 2026) opened at the Shanghai World Expo Exhibition & Convention Center. Damao Technology appeared with its full-stack computing-power coordination technology product system, presenting in full view its AI energy large model and agent cluster applications, the Computing-Power Coordination 2.0 platform, the prediction-dispatch-trading core functional engine, and the integrated smart operations and maintenance management platform.
Damao Technology CEO Jian Yumin was invited to attend the main forum and delivered a keynote speech titled "Defining Computing-Power Coordination with an Energy Brain, Building a New Paradigm for the Fusion of AI Computing Power and Green Energy," pointing out that the key to breaking the green power direct-connection impasse lies not in the zero-sum game over net electric energy value, but in multi-market integrated arbitrage, and offering a systematic problem-solving path through energy AI; Damao also took the lead in proposing the new E-AIDC (energy-driven AI data center) paradigm, demonstrating the cognitive depth and problem-solving capability of a core enterprise in the computing-power coordination industry chain.
Being the "Bridge Builder" of Energy and Computing Power, Breaking the deadlock in implementing green power direct-connection projects
Green power direct connection is a typical implementation scenario of computing-power coordination, yet it has long been stuck at the signing stage. Hundreds of green power direct-connection projects have been approved nationwide, but only a few have actually started construction and been implemented.
In his speech, Jian Yumin pointed out that the core crux lies in the fact that power generators and computing-power providers bargain only over the net value of electric energy, deadlocking for half a year over an electricity price of "2 jiao 6 or 2 jiao 8"; moreover, the periods when self-generated green power is abundant coincide with periods of low market prices, and capacity charges are hard to reduce, so relying solely on net energy value the two sides could never reach agreement, with price differences of a few cents or even a few tenths of a cent trapping the project in a zero-sum game.
Damao Technology's solution is to step out of the net electric energy value game, seeking optimization through the fusion of four markets—electric energy, flexibility, capacity, and carbon—first enlarging the pie and then dividing it fairly.
For example: within the electric energy price spread space, beyond the base electricity volume that accounts for fifty to sixty percent of electricity bills, AI real-time arbitrage through peak-shaving and valley-filling energy storage, self-generated green power, and market-based procurement lowers electricity costs; capacity charges are rising with regulatory cycle reform, and within the capacity transmission-and-distribution space, using AI to control load-side capacity occupation can significantly reduce transmission and distribution costs while easing capacity usage on the grid; within the flexibility and carbon revenue space, data center loads participate in demand response and ancillary services to earn relatively high single-event revenues, and through power quality management and green power consumption they obtain incentive subsidies and carbon asset appreciation.
In a project in a western province, Damao Technology used its energy large model to run simulations based on real data, performing calculations across 12,000 scenarios with 20 open boundaries (equivalent to 2 billion traditional static scenario calculations), uncovering a comprehensive value space of more than 3 cents, which both filled the 2-cent cognitive price gap between the two sides and left room for optimization, ultimately achieving an IRR improvement of about 20% for investors and a 10% reduction in users' end electricity prices.
Behind this solution is the dual support of Damao's full-stack computing-power coordination technology product system and its integrated operations and maintenance service capabilities.
Relying on its self-developed vertical energy large model with atomic agents and scenario-based agent clusters, the company has built a dual engine of "fusion inference intelligence + coordinated game intelligence," achieving multi-source spatiotemporal and multi-market data prediction and trend perception for loads, generation, and electricity prices, as well as global coordination across multiple markets—energy, flexibility, capacity, and carbon—and multi-objective optimal strategy solving, constructing a full-chain capability loop for AI data center energy operations; looking to the future, in view of the uncertainty caused by frequent iterations of electricity market policies, atomic agents with general-purpose, flexibly orchestratable capabilities adapt to rule differences across regions, realizing "one system for deployment, one service for delivery," and can be smoothly reused across various scenarios.
From IDC to AIDC, and on to E-AIDC: "Energy" Defines the Next Generation of AI Data Centers
Gartner predicts that in 2026, in the Agentic era, a single task's token consumption by agents could reach 5-30 times that of standard GenAI; computing power demand is climbing exponentially, and GW-scale AI data centers will become widespread.
80% green power consumption has become a compliance threshold for newly built data centers at national hub nodes; energy consumption quotas and grid access conditions have become practical prerequisites for project implementation; computing-power coordination has shifted from an optional cost-optimization measure to a mandatory requirement for safe implementation, with energy issues becoming the core constraint on computing power expansion.
Under this trend, the form of data centers is undergoing a third-stage evolution: traditional IDC was built with an infrastructure mindset of wind, fire, water, and electricity; AIDC shifted to being computing-power driven; while E-AIDC returns to the essence of "energy efficiency"—the new generation of Token factory is first an "energy project," and only second a "data center project."
Damao Technology was the first to propose the industrial concept of E-AIDC (Energy-driven AI Data Center), offering a framework from three dimensions: Energy operations, replacing one-time construction thinking with full-lifecycle operations; Eco, low-carbon and efficient, restructuring energy efficiency and carbon efficiency through electricity-computing integration and source-grid-load-storage coordination; Electricity, green power direct connection, making green power consumption a compliance prerequisite for project implementation and a long-term competitive advantage for the new generation of Token factories to cross cycles.
At its core is building data centers into self-optimizing systems that interact and adjust proactively with the grid, achieving predictability, adjustability, optimizability, and value appreciation, and releasing value by participating in all-market trading through flexibility resources.
This is precisely Damao Technology defining computing-power coordination with an energy brain, building a long-term, stable energy core competitiveness for the new generation of Token factories.
CPE 2026 is in full swing, running until 14:00 on the afternoon of October 28. Damao Technology awaits visitors from all walks of life at Booth E1010 in Hall H3 of the World Expo Exhibition & Convention Center, to explore together the computing-power coordination opportunities of the E-AIDC era.
This article was provided by Damao Technology and reprinted by QbitAI with authorization; the views belong to the original author.