Services Catalogue

The AI-Enhanced Model Predictive Control service extends the hybrid modelling approach of Service 8 with a forward-looking optimisation component. By forecasting grid states over a short prediction horizon and evaluating different configurations of controllable assets (batteries, curtailable generators, flexible loads) through repeated PowerFactory simulations, the service identifies the asset configuration that best stabilises the grid. All recommendations are presented to the operator for final decision — automated intervention is explicitly not foreseen.

The service processes and analyses asset nameplate images from substation equipment using AI-based computer vision to automatically extract technical parameters. It converts unstructured visual information into structured, machine-readable data, enabling faster and more accurate asset data inventory and supporting the digitalisation of asset management processes.

The service automates the generation of structured analysis reports for disturbance events recorded by protection relays. Using AI, it converts pre-processed and interpreted fault records (from Service 1) into professional expert reports that consolidate all relevant event information. This relieves protection system experts from manual report writing tasks, enabling faster and more consistent analysis of fault and non-fault events.

This service enables processing and analysis of drone-acquired imagery using AI to detect transmission system assets, support inventory identification, and identify potential physical anomalies. By automating visual inspection of power lines and towers, the service reduces the workload of field experts who currently perform inspections manually and enhances asset management databases with detected inventory data.

The Predictive Maintenance service for Energy Efficiency predicts equipment failures and energy efficiency degradation in manufacturing with 7-14 days of advance warning. By detecting conditions that degrade energy performance before causing functional failure, the service enables manufacturers to schedule maintenance during planned production windows, extend equipment lifetime, and maintain equipment in peak energy efficiency condition.

The Manufacturing Energy Demand Forecasting service predicts electrical energy consumption for manufacturing facilities at hourly, daily, and weekly horizons using AI models (Prophet, gradient boosting, LSTM, Transformers). The service enables procurement optimisation, peak demand charge avoidance, renewable energy integration, demand response programme participation, and production scheduling around favourable energy pricing.

The Transformer Thermal and Vibration Anomaly Detection service monitors distribution transformers using vibration measurements, infrared thermal images, and aligned operating data to detect deviations from normal behaviour and identify early signs of potential mechanical or thermal problems. The service supports preventive maintenance planning and provides an additional health-related signal for asset monitoring.

The Power Quality-Based Transformer Health Intelligence service uses power quality and load data from transformer monitoring devices to calculate a Transformer Unit Health Index, detect abnormal trends, and identify early signs of degradation. The service supports more proactive maintenance planning, helps prioritise higher-risk units, and contributes to reducing unplanned outages across the distribution fleet.

The Smart GIS Cable Routing service helps distribution network planners identify and evaluate optimal cable routes using GIS data, infrastructure layers, orthophotography, LiDAR imagery, and terrain information. The service applies optimisation methods to generate feasible cable routes balancing cost, technical constraints, and spatial conditions, delivering editable route proposals directly inside the GIS environment.

The Grid-Aware Flexibility Validation & Compliance Monitoring service provides an auditing layer that evaluates whether flexibility capacity committed by an energy community or aggregator was delivered in accordance with grid constraints, contractual obligations, and operational safety requirements. The service transforms activation records and metering data into structured compliance reports for regulatory and contractual settlement purposes.