Aurora Energy Systems (AES)
Aurora Energy Systems (AES) is a next-generation energy tech company delivering AI-powered grid orchestration platforms that unify distributed renewables, storage assets, and demand-side flexibility in real time. Designed for utility operators, energy traders, and large commercial portfolios, the Aurora platform enables predictive grid balancing, revenue-optimised dispatch strategies, and resilient renewable integration — with a commitment to decarbonisation and operational excellence.
This case study captures how AES partnered with leading European DSOs (Distribution System Operators) and renewable asset owners to enhance grid flexibility, unlock new revenue streams, and reduce carbon intensity across connected portfolios.
Strategic Challenge
Electricity grids across Europe are rapidly shifting from fossil-based centralised generation to highly variable renewable sources like wind and solar. While this transition boosts sustainability, it introduces volatility and complexity:
- Surge of distributed energy resources (DERs) posing balancing challenges at medium voltage levels
- Traditional grid control tools unable to predict or react quickly to rapid fluctuation
- Regulatory pressure to ensure reliability without fossil peaker plants
Aurora was tasked with developing a holistic real-time optimisation layer that could:
- Forecast grid stress and energy supply/demand imbalances with sub-hour precision
- Orchestrate DERs and storage assets dynamically
- Deliver a sustainable, scalable alternative to costly backup generation
Innovative Solution
AES deployed its Aurora Grid Orchestration Platform (AGOP) — a cloud-native, AI-driven solution that transforms grid operations through four core capabilities:
1. Predictive Energy Modeling
Using advanced ML and neural networks trained on historical production, weather data, and consumption patterns, AGOP forecasts short and medium-term grid imbalances with >95 % reliability.
2. Real-Time Asset Orchestration
AGOP communicates with distributed assets (solar farms, wind parks, batteries, EV fleets) through secure APIs and IoT integration layers to optimise dispatch based on forecasts and market pricing.
3. Automated Market Participation
The platform autonomously bids flexibility into ancillary service markets — maximising earned revenue while supporting grid stability.
4. Advanced Visual Analytics
A premium-grade dashboard delivers actionable insights for operators, including predictive heat maps, flexibility potential metrics, and carbon performance indices.
Implementation Highlights
Deployment Regions:
Nordic grid clusters (Denmark, Sweden, Finland) — selected for high renewable penetration and advanced flexibility markets.
Scale:
- ~3.8 GW DER capacity under management
- 500 + connected battery/storage assets
- 10 + utility partners
Technology Stack:
- Cloud-native microservices
- AI/ML prediction engines
- Secure IoT mesh for DER connectivity
- Market integration adapters for European flexibility markets
Key Outcomes
Aurora Energy Systems delivered material, quantifiable benefits across reliability, sustainability, and commercial performance:
Grid Reliability & Flexibility
- 65 % reduction in peak imbalance events
- 48 % fewer calls to expensive fossil-based balancing reserves
Renewable Integration
- Increased renewable hosting capacity by 22 % without infrastructure upgrades
- Enhanced forecast accuracy significantly lowered curtailment
Market & Revenue Impact
- Clients captured +18 % more revenue from flexibility and ancillary services
- Automated trading resulted in net operational cost savings of ~€14 M across partner portfolios
Sustainability
- Net CO₂ emissions avoided equivalent to removing ~125,000 passenger vehicles from the road annually
- Enabled grid operators to defer fossil peaker assets
Visual Identity & Brand Impact
AES worked with Nordic industrial design partners to craft a premium UX/UI and brand presence that reflects innovation and trust, aimed at premium enterprise and utility audiences. The clean, intuitive interface elevates complex energy data into digestible insights — supporting executive decision-making and strategic planning.
Testimonial
Chief Innovation Officer — NordicUtility GridCo
“Aurora’s predictive and orchestration capability fundamentally changed how we manage variability. We now see DERs, storage, and demand flexibility not as challenges but as assets — unlocking both sustainability and revenue potential.”
Conclusion
Aurora Energy Systems’ deployment demonstrates how cutting-edge AI, real-time orchestration, and strategic design can elevate energy system performance — enabling utilities and asset owners to embrace the clean energy transition with confidence and commercial advantage.