From Reactive to Predictive: AI-powered Services for Reliable and Resilient Grid Infrastructure

Recording of Wednesday, June 24, 2026 | The smarter E Europe Exhibition Program 2026 | Language: English | Duration: 12:56 .

Enhancing Maintenance Strategies in Utilities through AI and Monitoring

AI, digital services, and IoT play a critical role in improving operational efficiency and extending asset longevity in utilities. Traditional maintenance plans often rely on outdated time-based methods, which can lead to inefficiencies and unexpected failures due to misalignment with actual equipment conditions. Companies may either underserve their assets through infrequent maintenance or overspend due to excessive maintenance schedules. Effective asset management requires a balanced approach and the adoption of AI-powered solutions that allow for condition-based and risk-based assessments. Monitoring key indicators in equipment, such as in transformers and renewable energy sources, can detect up to 80% of failures early. Hitachi Energy's HMAX project integrates data from various sources to create tailored maintenance plans. Remote monitoring enhances operational efficiency, allowing technicians to resolve issues proactively and reduce downtime significantly. Real-world examples reveal substantial reductions in failure rates and response times, demonstrating the benefits of advanced maintenance strategies.

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Speaker

Andy Warner
Global Service Segment Leader Utilities
Hitachi Energy

Talk of session: AI in Action: Powering the Intelligent Energy System

Artificial intelligence is rapidly becoming a core enabler of modern energy systems. From grid optimisation and forecasting to flexibility management and asset intelligence, AI is transforming data into real-time operational value. This session highlights practical AI applications already being deployed across grids, buildings and energy markets. Discover how AI-driven solutions are improving efficiency, resilience and decision-making across the energy value chain.

Further Talks of this session: