I-NERGY

AI for the Energy Sector

I-NERGY forecasts demand, balances loads, and models assets—turning energy data into action.

I-NERGY FOCUS

Energy Commodities

AI to predict network demand and keep electricity/heat assets reliable, by combining off-grid field data with condition-based monitoring and cross-functional analytics in order to improve operational planning, maintenance scheduling, and outage prevention.

Distributed Energy Resources

AI to coordinate prosumers and distributed energy resources. It verifies energy-saving performance contracts with data. It forecasts consumption and flexibility so loads can be aggregated and traded. It also optimizes PV fleets with module-level IoT, enables smart EV charging, and supports peer-to-peer renewable trading.

Energy Efficiency

AI to turn energy efficiency into practical decisions. It highlights simple changes in electricity to cut waste, offers comfort and home-safety services, and uses data to show which upgrades are worth the money. It also provides local insights on how climate trends will affect renewable output and energy demand, so cities and building owners can plan ahead.

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  • Predict network loads and demand

  • Condition-based monitoring to detect issues early

  • Fuse off-grid/field data with SCADA/IoT telemetry

  • Cross-functional analytics (assets, operations, weather, market)

  • Improve operational planning: capacity, maintenance, spares

  • Cut outages and O&M costs

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  • Coordinate prosumers & distributed assets for aggregation/trading

  • Data-verified energy savings (Energy Performance Contracts)

  • Forecast consumption and flexibility

  • Optimize PV fleets with module-level IoT & predictive analytics

  • Smart EV charging (load shifting, better utilization)

  • P2P renewable energy trading in virtual communities

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  • AI decision support for electricity, heating, and cooling

  • Services for buildings & residents: AAL and home safety

  • Data-driven savings verification to de-risk investments

  • Improved EPC reliability with advanced analytics

  • Local climate-impact assessment on RES output & demand

How it works?

Data collection
Analysis & prediction
Output

PARITY’s Role in I-NERGY

PARITY leads the e-mobility work on EV-charging analytics. Leveraging real charging-session data (time-of-day patterns, session duration, connector type/capacity), it builds ML models that predict charger availability and demand per station and time slot, and enable variable pricing so operators can distribute load across locations and hours, which in turn reduces queues and eases peak stress on the grid.
What PARITY delivers

  • Availability & demand forecasts for publicly accessible chargers.

  • Dynamic/variable pricing logic to balance load across stations and time intervals.

  • Operational benefits: reduced waiting times, more efficient station use, and smoother distribution-grid operation.