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Category Archives: Predictive Maintenance and Fault Prevention

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GÖP / GİP / DGP: How Should a HES Operator Position Across Markets?
Why Is PTF Forecasting So Hard? Weather, Outages, Grid Constraints, and Demand Uncertainty A Data-Driven View for Hydropower Operators
Predictive Maintenance in Energy Facilities: ROI Analysis
SCADA Security in Critical Infrastructure
Ransomware and APT Threats Targeting Industrial Control Systems (ICS)

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February 2026

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Critical Infrastructure Cybersecurity and Industrial Systems Security
Energy Market & EPİAŞ Decision Support
Predictive Maintenance, Failure Management, and Business Value
Production Forecast & Weather + Hydrological Data
SCADA, IoT and Data Architecture
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Critical Infrastructure Cybersecurity and Industrial Systems Security
Energy Market & EPİAŞ Decision Support
Predictive Maintenance, Failure Management, and Business Value
Production Forecast & Weather + Hydrological Data
SCADA, IoT and Data Architecture
Uncategorized

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AI governance asset availability improvement bearing failure boundary protection in ICS condition monitoring energy risk management energy trading risk management EPİAŞ financial impact of unplanned downtime forecast monitoring hydraulic noise masking effect hydrological modeling hydropower generation forecasting hydropower plant maintenance management hydropower trading strategy Hydrowise Hydrowise Forecast ICS cybersecurity imbalance cost imbalance cost in power markets imbalance management Intraday Market ISO 55000 kurtogram method maintenance KPI tracking maintenance planning model uncertainty MTTR (mean time to repair) multi-HES portfolio optimization NIST SP 800-82 guidelines operational risk management OT security physical process modeling portfolio optimization Predictive Maintenance predictive maintenance integration production loss analysis rating curve SCADA protocols SCADA security System Marginal Price unplanned downtime cost vibration analysis weather impact on electricity prices Zero Trust

We make a difference in the energy sector with the HES Management System. We develop AI-powered analytics, predictive maintenance solutions, and data-driven management tools specifically for hydroelectric power plants.

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