3 E Network’s AI Smart Energy Plan: A New Era for Data Centers in Mikkeli, Finland

On February 5, 2026, 3 E Network Technology Group Limited (NASDAQ: MASK) made headlines with the announcement of their AI Smart Energy Plan, designed for their AI data center in Mikkeli, Finland. This innovative framework aims to fundamentally reshape how data centers manage energy consumption, aligning technical efficiency with market dynamics.

The Framework of the AI Smart Energy Plan

The AI Smart Energy Plan is built upon five main technical modules that work in concert to enhance the data center’s energy efficiency. Let’s break down these key components:

1. Dense IoT Sensing

At the heart of the plan is a dense IoT sensing system. This network of sensors will continuously monitor various environmental factors, including IT load characteristics and outdoor weather conditions. By creating a comprehensive digital map of the data center’s physical environment, the system aims to provide critical real-time data that informs AI-driven decision-making. This approach allows for high-precision inputs to improve operational visibility and reduce inefficiencies.

2. AI-Driven Closed-Loop Cooling

The second module focuses on implementing AI-adaptive closed-loop cooling. Unlike traditional static cooling systems, this dynamic mechanism adjusts cooling strategies in real time. By utilizing machine learning algorithms, the system can match cooling output with actual thermal loads, significantly reducing energy waste and keeping operations within optimal Power Usage Effectiveness (PUE) ranges.

3. High-Precision Price Prediction Models

Given the volatile nature of energy markets, the third module develops high-precision price prediction models. Utilizing time-series forecasting technology, this system decodes supply and demand trends to generate forward-looking price signals. These signals are crucial for making informed decisions about workload scheduling and optimizing energy costs.

4. Economic Workload Dispatch Mechanism

The plan introduces an economic workload dispatch mechanism that creates a synergetic response protocol between computing tasks and energy consumption. By leveraging predictive pricing signals, it orchestrates tasks to shift high-intensity workloads to off-peak price periods. This automated management facilitates significant reductions in operational expenditure (OPEX) without compromising service level agreements (SLAs).

5. Active Management of Energy Consumption

The final module transitions the data center’s operational logic from passive consumption to active management. By integrating demand response capabilities, the facility can modify power consumption based on utility directions, thereby supporting grid balancing efforts. This flexibility not only aligns with local energy policies but also positions the data center to capitalize on green energy opportunities.

Strategic Objectives and Market Conditions

This comprehensive plan comes at a time when energy efficiency in data centers is paramount, particularly in European markets. With energy becoming more than just a basic cost but a strategic asset, Dr. Tingjun Yang, CEO of 3 E, emphasizes the need for algorithm-driven energy management. This strategic alignment aims to optimize energy use, buffer against fluctuating energy prices, and enhance overall operational resilience.

Financial Projections and Market Response

Following the announcement, 3 E Network saw a 0.44% increase in stock valuation, a minor yet positive market response. The valuation impact was approximately $23K, bringing the company’s market cap to $5M. Interestingly, while MASK stock showed a modest uptick, key technology peers experienced declines, signaling that the market’s reaction was specific to 3 E’s developments rather than a broader sector trend.

Key Financial Figures

• Project Capacity: 26 MW (target for the AI data center)
• Estimated Revenue (2025): $4,835,167
• Previous Year Revenue (2024): $859,344
• Land Lease Term: 30 years for the Mikkeli site

A Shift Toward Sustainability

This intelligent energy management system isn’t just about cut costs; it’s also about embedding sustainability into the company’s operational framework. By adhering to rigorous Nordic environmental standards, the AI Smart Energy Plan positions 3 E Network as a potential leader in the green data center movement.

This strategic initiative could serve as a reference model for global expansion, showcasing how advanced technology can harmonize with responsible energy use. The roadmap laid out by this energy plan could set benchmarks for future innovations in data center operations and energy management.

Future Implications

As we navigate an era where the demand for AI and data processing continues to grow, how companies adapt to these new energy challenges will likely dictate their long-term success. The AI Smart Energy Plan represents more than just a tactical adjustment; it symbolizes a shift in how data centers will operate—merging technology with environmental responsibility for a sustainable future.

In a world increasingly reliant on computational power, 3 E Network’s proactive approach sets a noteworthy standard—with its eye firmly on the horizon of energy-efficient, AI-driven operations.