AVEVA Deploys Industrial AI Across Global Energy Networks
The energy sector faces unprecedented technical challenges as power companies attempt to balance grid stability with the integration of renewable resources. This transformation occurs against a backdrop of increasing energy demand and mounting pressure for decarbonisation, creating an operational environment that traditional management systems struggle to address.
AI has emerged as a critical tool for managing these challenges, with power companies investing in machine learning systems to optimise grid performance and predict maintenance requirements. These technologies enable power providers to process vast quantities of operational data from distributed energy resources, supporting the transition to more flexible and resilient power networks.
This integration of AI into power infrastructure is reshaping energy management systems, according to AVEVA, the Schneider Electric-owned industrial software provider that develops digital solutions for utility companies.
Industry pressures drive digital adoption
Power utilities face mounting pressure to incorporate renewable energy sources while maintaining grid stability, according to AVEVA, which provides software solutions for power generation and distribution companies. The company’s platforms enable utility operators to manage the transition to sustainable operations while maintaining service reliability.
“Power companies are under pressure to incorporate more renewable resources into the grid and deliver reliable, resilient power – all while ensuring safe, efficient operations,” AVEVA says. The firm emphasises that digital transformation has become essential for power companies to address these operational challenges.
AI in power infrastructure management
AVEVA, which was acquired by energy management specialist Schneider Electric in 2023, has expanded its deployment of machine learning systems across power generation facilities. The company’s software platforms enable utility operators to monitor real-time grid performance and implement predictive maintenance protocols through sensor networks and data analytics.
Gary Wong, Global Segment Leader of Power, Utilities and Infrastructure at AVEVA, says: “Digital technology is instrumental in reconciling burgeoning demands for power with the transition to sustainable operations. To decarbonise operations, ensure resilience and deliver reliable, affordable, customer-centric services, utilities must be able to rely on real-time operational insights and analytics for grid management and load planning.”
The firm’s industrial intelligence systems incorporate artificial intelligence for asset monitoring and grid optimisation. These systems process data from connected devices across power networks to identify potential equipment failures and efficiency improvements.
AVEVA’s cloud infrastructure enables data sharing
The company has developed cloud-based platforms that facilitate data exchange between utility providers. These systems allow power companies to share operational data and coordinate resource allocation across regional grids.
Gary says: “In 2025 and beyond, data-sharing technologies and industrial AI solutions will drive further enhancements, particularly when hosted in the cloud.”
The implementation of AI in grid management has demonstrated measurable improvements in operational efficiency, according to AVEVA. Gary says: “From operations control to unified engineering, AI-infused industrial intelligence tools are enhancing predictive maintenance and operational analytics, supporting the necessary transformation that allows utilities to rationalise costs and stay resilient.”
Smart grid development for renewable integration
AVEVA’s software platforms incorporate smart grid technology, which uses machine learning algorithms to manage power distribution from renewable sources. These systems address the challenge of integrating intermittent power generation from solar and wind facilities into existing grid infrastructure.
Gary, who focuses on enabling connections between power, water, facilities, smart cities and transportation networks, notes that smart grids combined with advanced energy storage systems are essential for managing decentralised energy resources.
“Likewise, smart grids – paired with advanced energy storage – support the integration of decentralised energy resources into existing energy systems, enhancing reliability despite intermittency and increasing demand,” says Gary.
The company’s data sharing platforms enable coordination between different utility providers, facilitating improved resource management across sectors. This cross-sector integration supports the development of circular practices and helps utilities meet environmental targets.
“Data-sharing ecosystems are helping drive greener and more sustainable practices as operators invest in renewable energy and circular practices to reduce waste with a view to meeting net zero commitments,” Gary says.
AVEVA has established partnerships with utility companies to expand its data sharing capabilities. Gary says: “Collaborative ecosystems present a systemic strategy to capitalise on opportunities arising from the energy transition. By involving contractors, suppliers, and even communities in new kinds of synergistic data-sharing frameworks, these integrated new platforms empower utilities to streamline operations and drive sustainable growth.”
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