Enda Enerji commands 189.12 MWe of generation capability across Wind, Hydro, Solar, and Geothermal — backed by an enterprise SAP S/4HANA data backbone. We deploy hyperscale foundation models to bridge the catastrophic yield gap.
In 2024, your fleet produced 357,949 MWh against a theoretical ceiling of 1,656,691 MWh. Capturing only 21.6% of installed potential pushed gross profit into negative territory. Every 1% mathematically recovered via AI translates to millions in immediate margin without new CAPEX.
The energy sector of 2024 relied on "predictive dashboards" — basic systems that told a human operator a problem might happen. By the time the operator reacted, the financial loss was already locked in.
In 2026, the global standard is Agentic Ecosystems. Autonomous neural networks are deployed directly into existing SCADA/ERP backbones. They don't just predict — they execute: millisecond-resolution trading, autonomous turbine yaw adjustments, and precision chemical dosing — all without human latency.
Algorithmic spot-market trading that bypasses human latency. Models ingest EPİAŞ / OPCOM data natively, locking generation spreads microseconds before legacy traders react. Autonomous bid construction across GÖP, GİP, and DGP markets.
Treating cascading hydroelectric systems and clustered wind farms as unified spatial-temporal graphs. Optimization happens across the entire asset network simultaneously — not plant by plant.
Injecting the laws of thermodynamics and fluid dynamics (Navier-Stokes, Darcy-Forchheimer) directly into deep neural architectures to model geothermal reservoirs and hydraulic turbine fatigue with mathematical precision.
On-device visual intelligence deployed to thermal drones and CCTV feeds. Real-time detection of solar panel micro-cracks, turbine blade erosion, and substation anomalies — processed at the edge without cloud round-trips.
The world's largest energy hyperscalers have already deployed this exact intelligence layer. These are not projections — they are verified, production-grade results.
Through Spatio-Temporal Graph architectures and Active Wake Steering, the entire wind farm becomes a reactive neural graph. Upstream turbines autonomously misalign their yaw to redirect aerodynamic wake, drastically reducing structural fatigue on downstream rotors while maximizing aggregate capture.
Complementary vibration analytics ingest raw SCADA telemetry (10ms resolution) to model Remaining Useful Life (RUL) for gearboxes, generators, and pitch bearings — scheduling maintenance months before catastrophic failure.
Probabilistic Bayesian Inference models now dictate the dispatch of water across cascading river systems. Hydropower is the ultimate grid flexibility asset, and AI autonomously pre-spills or retains water based on 15-minute intraday spot pricing volatility.
The AI generates thousands of stochastic future weather scenarios per day to calculate mathematically guaranteed inflow volumes — replacing manual DSİ read-outs and historical monthly averages entirely.
Massive solar portfolios (10,000+ acres) are managed via edge-computed Vision Transformers deployed on autonomous thermal drone fleets. Cellular micro-cracks, PID degradation, and string mismatch are cross-referenced and isolated in real-time.
Concurrently, hyper-granular irradiance forecasting (15-min block resolution) synchronizes generation predictions with intraday market submissions — eliminating deviation penalties before they accrue.
NextEra Energy and Engie report >95% anomaly detection accuracy using drone thermography in hours rather than months. Compounding revenue losses from undetected hotspots are eliminated instantly.
Computational Fluid Dynamic (CFD) Digital Twins simulate the full subsurface thermal reservoir without test drilling. The neural network embeds mass conservation and Navier-Stokes equations to calculate exact thermodynamic stress points and scaling thresholds.
Silicate/calcite crystallization events are predicted hours in advance, triggering automated chemical injection (CO₂ / formic acid) at precision concentrations — extending equipment lifespans by years.
Fervo Energy and Enel Green Power leverage subsurface digital twins to secure 2–5% raw efficiency gains while eliminating catastrophic scaling-induced shutdowns.
We deliver immediate, specifically engineered AI integrations for your existing infrastructure. Zero procurement cycles. Zero new hardware. Pure software intelligence injected directly into your SAP/SCADA backbone.
Your pioneering CO₂ reinjection system at Tuzla JES is the perfect foundation for thermodynamic AI overlay. We construct a physics-informed digital twin of the full subsurface reservoir to mathematically predict mineral crystallization events.
With 104 MWe of hydro capacity, every cubic meter of spilled water is pure financial destruction. The AI orchestrates the entire cascading river system as a single intelligent entity, dynamically coordinating reservoir levels, turbine dispatch, and market pricing in real-time.
Five wind farms concentrated in the Aegean corridor represent a unique opportunity. Instead of optimizing each turbine independently, we treat the entire 68.6 MWe fleet as one reactive intelligence — dynamically coordinating wake patterns, maintenance schedules, and trading positions.
The incoming Romanian solar + BESS portfolio is the perfect testing ground for next-generation algorithmic energy trading. We connect edge-deployed irradiance forecasting directly to both OPCOM (Romania) and EPİAŞ (Turkey) simultaneously.
Beyond asset-specific optimizations, we deploy a unified predictive maintenance layer across the entire 189 MWe portfolio — feeding directly into your SAP S/4HANA PM module for automated work order generation and spare parts procurement.
We propose a highly concentrated 90-day integration on your highest-leverage asset. Let the software prove the mathematics. Zero new hardware required.
Authorize Phase 1