Digital transformation in the energy sector: How to set a digital strategy
Across the energy sector, a clear and forward-looking digital strategy has become essential in an increasingly tech-driven, fast-evolving market. Hakan Oztas and Olga Anisimova of Magnus Energy explain how operators can develop such a strategy and what it takes to make it work.
The European Commission’s ‘Strategic Roadmap for Digitalisation and AI in the Energy Sector’ sets out a clear direction for the continent’s energy landscape: digitalisation will in the years ahead become a strategic enabler of the industry’s ambitions and challenges. From grid optimisation and demand-side flexibility to renewable integration, digital technologies underpin the processes and systems that keep the energy system running.
Why a clear digital strategy matters
The European power system has become a real-time digital network of millions of assets – each consuming, generating, or storing electricity at unpredictable moments. Control is no longer centralised but distributed across actors, technologies, and layers of data.
Yet inside many organisations, digital initiatives still run in silos: IT upgrades here, data projects there, grid automation somewhere else, often with different sponsors and incompatible architectures.
That fragmentation has a price. It wastes scarce expert time, duplicates investments, and leaves cyber and operational risks poorly managed. A clear digital strategy creates the link between system needs and organisational capabilities.
- It clarifies purpose: which problems you are trying to solve (e.g. congestion, forecasting, flexibility, cyber resilience).
- It defines a shared architecture: how systems, platforms, and data sources are supposed to connect.
- It sets out governance: who decides, who funds, and how you know you are on track.
Without that clarity, even the most advanced tools – AI forecasting, digital twins – risk becoming expensive pilots that never scale. With it, each new initiative reinforces the others instead of adding complexity.
1) The vision
Digital transformation begins with a shared vision – a common understanding of what the digital grid should achieve and how it supports the organisation’s mission. However, it only sticks when responsibilities and investments are aligned with that vision.
Step 1: Align on the vision
IT leaders and executives of system operators should co-create a vision statement together to answer the following questions:
- What level of digital maturity do we aim for in 3–5 years (e.g. predictive control, automated dispatch, digital twins)?
- Which architectural principles are non‑negotiable (interoperability, open APIs, security by design, cloud/edge balance)?
- Which guiding goals matter most (response times, congestion costs, forecasting accuracy, cyber resilience)?
Crucially, it should be grounded in an honest assessment of four transformation streams: People, Processes, Technology, and Data.
Step 2: Clarify responsibilities
Digital transformation blurs traditional boundaries between IT, OT, and operations. To prevent overlaps system operators must explicitly define roles:
- Who owns which external interfaces (flexibility platforms, market data, TSO‑DSO data exchange)?
- Where does corporate IT end and control‑room responsibility begin for cybersecurity, data architecture, and real‑time tools?
- Which decisions sit centrally (standards, architecture), and which are delegated to regional/operations teams (implementation, local optimisation)?
Clear accountability does not mean centralising everything. It means everyone knows their mandate – and where collaboration is non‑negotiable.
Step 3: Coordinate investments
In many utilities, digital investments have grown organically: a platform here, a tool there, often driven by procurement cycles rather than strategy. Moving to a portfolio view changes the conversation: each new system is assessed on how it fits the target architecture, which capabilities it unlocks, and which others it depends on.
Joint work on common data spaces, interoperability and shared cybersecurity standards can reduce duplication and accelerate learning across TSOs and DSOs. For an individual operator, that means asking not only “What do we need?” but also “Where can we align or reuse what already exists?”
2) The data foundation
Every digital strategy stands on one core principle: you can’t manage what you can’t see. Data quality and accessibility determine whether operators can forecast, optimise, and automate with confidence.
Build a unified data architecture
A unified data architecture does not mean one monolithic platform. It means a set of shared definitions and rules so that network, market, and asset data can be combined without endless translation work. This includes common semantics, clear ownership and quality rules for operational, market, and customer data, role‑based access with audit trails and latency requirements depending on use (real‑time operation vs planning vs analytics).
Use digital twins and predictive models
Digital twins turn that data into foresight. Coupled with real‑time telemetry and scenario models, they allow operators to test “what if?” questions.
The value, however, depends on trust and mindset shift. If operators cannot see why a twin or model recommends a particular action, they will hesitate. That brings us back to people and processes: models must be explainable, and decision paths must clearly show when humans lead and when automation can safely take over.
Treat cybersecurity as part of system design
As IT and OT converge, the attack surface expands. The NIS2 Directive and related EU initiatives make it clear that energy operators must embed cyber risk management, incident reporting, and supply‑chain security into their digital designs. For strategy, this means cybersecurity is not a separate add‑on workstream; it is a design constraint for architecture, procurement, and operations from day one.
3) The execution
A good strategy fails without disciplined execution. Leaders must translate digital goals into measurable, time-bound outcomes and maintain delivery momentum. Practical enablers include:
- Agile governance: review progress monthly, not annually.
- Cross-functional teams: embed IT, OT, and operations experts together.
- Capability mapping: identify skill gaps early; plan reskilling programs for digital operations.
- Iterative modernisation: upgrade SCADA, EMS, and DMS systems in stages—run pilots, validate, then scale.
- Change management: success depends on people understanding why the change matters and how it helps them do their jobs better.
When done right, digital transformation becomes self-sustaining – system operators start pulling for more automation, better data, and smarter tools.
