Time:2026-07-27 Browse: 0
At the World Artificial Intelligence Conference (WAIC) 2026, Schneider Electric presented its latest AI-enabled energy management and industrial automation technologies under the theme "AI-Powered Intelligence for the Future." The company demonstrated how artificial intelligence is accelerating digital transformation across energy infrastructure, data centers, industrial manufacturing, and smart buildings.
As AI applications continue to drive unprecedented computing demand, Schneider Electric emphasized that the future of artificial intelligence depends not only on advanced computing power but also on resilient, efficient, and sustainable energy systems. The company showcased end-to-end solutions designed to optimize the complete lifecycle of energy and industrial operations.
Speaking during WAIC 2026, Yin Zheng, Executive Vice President of Schneider Electric and President of China & East Asia, highlighted the company's commitment to combining technological innovation with ecosystem collaboration.
According to Schneider Electric, China plays a unique role in both the global power industry and AI innovation landscape, making it an important hub for developing next-generation digital energy technologies.
The company aims to accelerate large-scale AI deployment while building intelligent energy infrastructure capable of supporting future computing demands and sustainable industrial growth.

As AI workloads continue to expand, modern data centers face increasing challenges related to power consumption, operational reliability, and energy efficiency.
To address these challenges, Schneider Electric presented a comprehensive portfolio of AI-enabled solutions covering the entire data center lifecycle.
During the planning stage, the company's ETAP digital twin platform enables engineers to simulate electrical systems, evaluate power supply capacity, and predict computing load performance before deployment.
Digital modeling helps optimize infrastructure design while improving operational reliability and reducing future expansion risks.
Schneider Electric showcased several intelligent solutions designed to optimize energy consumption and power management, including:
EcoStruxure™ Energy Operation integrated energy management platform
SpaceLogic™ AI BOX building energy optimization solution
POI intelligent power distribution terminal
PO Easergy A5 automatic power load control system
SmartCool AI cooling optimization for data centers
Intelligent chilled water plant control solution
Together, these technologies help balance electrical supply with AI computing demand, improve energy efficiency, and reduce operating costs.
For long-term operations, Schneider Electric demonstrated its EcoCare for Software lifecycle service, which combines software maintenance with AI-powered analytics.
The platform enables predictive maintenance, continuous system optimization, and improved utilization of operational data throughout the asset lifecycle.
To address the growing demand for hyperscale AI computing clusters, Schneider Electric introduced its EcoStruxure IMDC solution.
The platform integrates:
Customized power distribution architecture
Liquid cooling infrastructure
End-to-end energy efficiency optimization
Intelligent operational management
The solution is designed to support large AI computing facilities while improving energy utilization and reducing carbon emissions.
One example highlighted during the exhibition is the Guangling Computing Power Park within the Qineng Technology Datong Super Energy Complex, where Schneider Electric provides integrated medium- and low-voltage power distribution solutions together with lifecycle services.
The project delivers high-reliability power monitoring, real-time energy management, and improved carbon management efficiency, demonstrating a new model of coordinated computing and energy infrastructure.
Beyond data centers, Schneider Electric demonstrated how AI technologies are transforming industrial facilities, infrastructure projects, and commercial buildings.
Its latest EcoStruxure Energy Operation digital platform combines centralized software, operational data, and artificial intelligence to provide comprehensive energy management capabilities across multiple industries.
The platform helps organizations improve operational efficiency, strengthen system resilience, and support long-term sustainability objectives.
Another key innovation introduced at WAIC 2026 was Schneider Electric's new Power Management Native AI Agent.
The AI platform connects equipment access, operational data, engineering knowledge, intelligent diagnostics, and automated execution into a unified workflow.
By embedding AI directly into power management systems, industrial enterprises can move beyond traditional reactive maintenance toward predictive diagnostics and proactive asset management.
Schneider Electric also demonstrated AI applications for the chemical processing industry, covering every stage of plant operation from engineering and commissioning to optimization and maintenance.
During system deployment, the company's BoroClaw solution utilizes intelligent agent technology to automate Distributed Control System (DCS) engineering tasks, including:
Knowledge management
Intelligent engineering queries
Automatic configuration
Automated testing
System status analysis
For plant optimization, Schneider Electric combines AI algorithms with advanced process control technologies to improve model performance, detect equipment conditions, and enhance operational decision-making.
The company believes AI-enabled automation will help process manufacturers achieve safer operations, higher production stability, greater efficiency, and improved sustainability.
As AI adoption accelerates worldwide, energy infrastructure is becoming an increasingly critical component of digital transformation.
Schneider Electric's showcase at WAIC 2026 demonstrates how intelligent energy management, digital twins, AI-powered automation, and lifecycle services can work together to support data centers, industrial enterprises, and critical infrastructure.
By integrating AI into every stage of energy and industrial operations, the company aims to help organizations improve efficiency, reduce carbon emissions, and build more resilient, intelligent, and sustainable operations.
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