Services Catalogue

The Degradation-Aware Lifecycle Optimisation service integrates battery aging models directly into operational and strategic decision-making for EV batteries and stationary storage. By embedding degradation cost into dispatch decisions, the service enables operators to evaluate energy flexibility strategies not only for short-term economic performance but also for long-term battery health, lifecycle cost, and sustainability — avoiding premature battery replacement from aggressive operation.

The Energy Community Sharing & EV Charging Flexibility Optimisation service implements an AI-driven forecasting and MPC-based optimisation framework to align EV charging demand with locally generated PV electricity and market prices. Using a rolling-horizon Model Predictive Control approach updated every 15 minutes, the service increases renewable self-consumption, reduces peak grid imports, and minimises export losses within energy communities.

The Predictive Maintenance service for EV Charging Points implements a monitoring and prognostics framework that detects abnormal behaviour, emerging faults, and degradation patterns in EV charging infrastructure before they cause service interruption. Combining rule-based diagnostics with data-driven anomaly detection, the service supports operators in reducing charger downtime, improving maintenance planning, extending charger lifetime, and ensuring safer and more reliable charging services.

The School Water Consumption & Anomaly Detection service provides the Municipality of Athens with continuous monitoring of water consumption across instrumented schools, using occupancy-adjusted baselines to detect anomalous flows, background leaks, and wastage events during unoccupied periods. The service makes water losses visible as they develop, giving facility managers the information needed to act before waste becomes financially significant.

The Building Occupancy & Operational Schedule Intelligence service infers actual occupancy patterns from electricity consumption signatures, detects systematic mismatches between declared operating hours and real building use, and generates recommended schedule adjustments to eliminate energy waste during unoccupied periods. By comparing actual consumption behaviour against official schedules, the service identifies buildings where energy continues to be consumed significantly beyond their intended operating periods.

The PV Performance & Self-Consumption Optimisation service addresses the operational management and performance assurance of photovoltaic installations across municipal buildings, while simultaneously maximising the proportion of locally generated solar electricity consumed within each building. The service combines inverter-level fault detection and degradation monitoring via direct API integration with a real-time load alignment capability that shifts flexible building loads into solar generation windows to increase self-consumption.

The Long-Term Energy & Cost Planning service provides the Municipality of Athens with a strategic planning capability that translates operational consumption data into annual and multi-year energy budget forecasts. By constructing building-level consumption trajectories based on actual historical behaviour and seasonal patterns, the service produces portfolio-level annual cost projections under conservative, central, and adverse price scenarios, supporting municipal finance directorates and the central energy management team.

The Short-Term Building Load Forecasting service delivers probabilistic electricity consumption forecasts at 15-minute resolution for horizons spanning from one hour to twenty-four hours ahead, covering every smart-metered building in the municipal estate. Accurate short-term forecasts serve as the informational foundation for demand response scheduling, PV self-consumption optimisation, and anomaly detection baselines across the broader service portfolio. The service maintains a dedicated forecasting model per building, calibrated to each building's specific contextual drivers.

The School Heating Asset Health & Fuel Optimisation service provides continuous thermal comfort compliance monitoring and heating system health assessment for municipal schools in Athens. By exploiting thermostat sensor data combined with outdoor weather observations and electricity consumption telemetry, the service builds a continuous picture of indoor thermal conditions, classifies each monitored interval as compliant or non-compliant, and identifies heating system failures, fuel availability issues, and equipment degradation patterns.

The Energy-Driven Retrofit & Investment Prioritisation service provides the Municipality of Athens with a systematic, data-driven framework for prioritising energy-related capital investments across its public building portfolio. It replaces ad hoc decision-making with a rigorous, continuously updated investment ranking grounded in actual consumption data, peer benchmarking, and waste persistence analysis. The output is a prioritised investment register that identifies which buildings offer the greatest energy saving potential and are best positioned to secure external co-funding.