Dost Enerji Partners with Delfos Energy to Deploy AI-Driven Virtual Engineer Across Wind and Solar Portfolio in Turkey

The collaboration marks a strategic digital transformation for Dost Enerji, one of Turkey’s most established renewable operators, as it transitions from reactive incident management to proactive, AI-powered operational intelligence.

Like many renewable operators, Dost relied primarily on SCADA systems and fragmented digital tools. These systems provided real-time operational visibility but lacked predictive analytics, financial impact modeling, and structured performance governance.

Operational teams were responding to alarms as they appeared. Insights often arrived too late.

“Everything was one month behind. That delay meant real losses, because by the time issues were visible, they had already impacted production.”
— İsa Alkan, Deputy General Manager and Head of Operations

Previous providers offered retrospective analysis or end-of-month reporting. By the time performance deviations were flagged, financial losses were already incurred.

For a lean organization managing complex wind assets, this model was no longer sustainable.

Why Delfos Energy Was Selected

When Dost initiated its search for a renewable asset management partner, larger competitors had greater market visibility, while local firms offered contextual familiarity. Dost chose Delfos Energy for its proven track record, AI-first architecture, and portfolio scale. With more than 15 GW monitored across wind, solar, hydro, and storage, Delfos demonstrated both analytical depth and operational credibility

The objective was clear: move from reactive SCADA monitoring to proactive AI-driven asset management.

Deploying the AI Virtual Engineer

Through the partnership, Dost deployed Delfos’ Virtual Engineer platform to enable:

• Real-time anomaly detection
• Proactive alerts before production losses escalate
• Structured weekly Performance Engineering sessions
• Third-party performance reporting for OEM discussions

Unlike retrospective reporting models, Delfos delivers live operational intelligence.

Strengthening OEM Accountability

Beyond technical detection, Delfos has strengthened Dost’s negotiating position with OEMs.

AI-driven performance analysis and structured third-party reports provide credible, data-backed evidence during manufacturer discussions .Weekly Performance Engineering sessions between Delfos and Dost engineers have become a central pillar of the partnership, translating raw data into structured findings and corrective action plans

Real-Time Visibility Across the Organization

Delfos is now accessed daily by Dost’s management team through both web platform and mobile application.

Managers monitor:

• Turbine production
• Wind resource indicators
• Asset availability
• Fault alerts
• Operational deviations

This accessibility enables continuous oversight and faster decision-making, even outside the control room.

Operational agility has replaced delayed monthly diagnostics.

Positioning Dost for the AI-Driven Renewable Era

The Turkish renewable market is entering a phase where AI-driven asset management is becoming foundational.

For operators managing wind portfolios with tight margins and OEM dependencies, real-time predictive monitoring is essential to protect revenue and ensure long-term scalability.

Through this partnership, Dost Enerji has established:

• Proactive anomaly detection
• Reduced financial exposure from delayed insights
• Improved OEM accountability
• Structured performance governance
• A scalable foundation for predictive maintenance

Delfos Energy’s AI-first renewable asset management platform combines real-time monitoring, anomaly detection, loss analysis, and cross-asset intelligence across wind, solar, hydro, and storage

Read the Full Dost Enerji Case Study

To explore the detailed operational transformation, technical findings, and performance engineering model behind this partnership: Read the full Dost Enerji case.

Request a Demo of the Delfos Virtual Engineer

If you manage wind, solar, hydro, or storage assets and face:

• Delayed performance insights
• OEM dependency
• Fragmented SCADA systems
• Undetected production losses

It may be time to operationalize AI inside your asset management function. Request a tailored demo of the Delfos AI Virtual Engineer platform

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