Recording of Tuesday, June 23, 2026 | The smarter E Europe Conferences 2026 | Language: English | Duration: 33:22 .

Complex Interplay of AI, Energy Systems, and Industry Transformation

The current landscape of energy systems is marked by intricate challenges involving the integration of AI technologies, foundational changes in operational practices, and regulatory adjustments. Industries are struggling with the tension between foundational AI development and practical application, often focusing on immediate benefits without a long-term strategy. The evolution in power systems demands expertise from professionals accustomed to traditional methodologies, who must now adapt to rapidly changing technologies. Enhanced collaboration and trust between humans and automation systems are critical, highlighting the necessity for oversight and gradual implementation of AI. Regulatory frameworks have not kept pace with technological advancements, leading to a misalignment with modern operational needs. For organizations to leverage the benefits of AI, it is essential to address data management challenges, ensuring quality and accuracy for effective decision-making. Additionally, embracing a culture of experimentation through regulatory sandboxes can facilitate smoother AI adoption, mitigating fears around job displacement and increased automation. Ultimately, fostering trust in AI capabilities while ensuring adequate human oversight will be key to transforming industry processes.

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Talk of session: Can We Trust AI to Run the Grid? From Data Infrastructure to Operational Intelligence

Grid operators are no longer asking whether AI belongs in control rooms, but when they will be able to rely on it. AI tools for forecasting imbalances, detecting congestion, supporting dispatch decisions as well as enabling digital twins and edge intelligence are advancing rapidly. At the same time, European frameworks are evolving to support data-driven grid operation.But trust is not built on model accuracy alone - it requires real-world deployment, transparent validation and clear human oversight. During this 90-minute session, speakers will share concrete results from deployed systems. Find out where AI-assisted operation has delivered measurable improvements, what data infrastructure is genuinely needed and what regulatory conditions can help a tool move from the pilot phase to one that becomes part of daily operations.

Further Talks of this session:

Welcome & Introduction

Speaker

Luís Vale Cunha
Board Member, European Affairs, Policy & EU Projects
E.DSO and E-REDES

To Talk

From Legacy to Leadership: Europe's Digital Grid Transformation - Regulatory and Data-Governance Framework

Speaker

Christiane Mann
Chair of the T&D Europe Working Group on Grid Digitalisation
T&D Europe
Belgium

To Talk

From Data to Decisions: Operational Lessons from AI in Utility-Scale Battery Storage

Speaker

Steve Merrick
Staff Product Manager
Wärtsilä Energy Storage
USA

To Talk

Empowering Grid Operators: Intelligent AI Agents for Next-Generation Energy Networks

Speaker

Smaran Subbaiah
AI Product Manager
Siemens AG
Germany

To Talk

Hedging Risks in a PV-Heavy Market: Data-Driven Solutions to Forecast Grid Imbalance

Speaker

Diya Achi
R&D Data Scientist
CSEM SA
Switzerland

To Talk

Smarter Grids Through Edge Intelligence: ADI's Vision for the Energy Transition

Speaker

Christoph Scharfenort
Manager Sales & Business Development DACH
VT Electron (ADI)
Ireland

To Talk

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