Next Gen Energy offers a platform that merges real-time grid monitoring with algorithmic energy trading to optimize renewable integration for utilities and power producers in Denmark and the UK. By continuously balancing supply and demand, forecasting congestion, and executing automated trades, the system improves grid stability and extracts higher economic value from intermittent generation.
Funding
Funding not disclosed
Founders
Product
Problem
Grid operators and energy producers face challenges integrating increasing volumes of intermittent renewable generation, leading to stability issues, inefficient market participation, and higher carbon emissions. Traditional energy trading and grid management tools lack real-time optimization, making it difficult to maximize renewable value and maintain reliable supply.
Solution
Next Gen Energy provides an integrated platform that combines real-time grid monitoring with algorithmic energy trading to improve renewable integration and market efficiency in Denmark and the UK. The system continuously balances supply and demand by adjusting dispatch schedules and leveraging price signals, thereby enhancing grid stability while extracting higher economic value from renewable assets. Advanced analytics identify optimal trading opportunities and predict congestion, enabling operators to pre‑emptively mitigate risks. By delivering actionable insights through a web dashboard, the platform supports utilities, independent power producers, and aggregators in meeting sustainability targets and reducing reliance on fossil‑fuel backup generation.
Target Audience
Primary customers are transmission system operators, utility companies, and independent renewable power producers operating in the Danish and UK electricity markets.
Features
- Real-time grid data ingestion from SCADA and market APIs for up-to-the-second visibility
- Predictive optimization engine that aligns renewable output with market price forecasts
- Automated trading algorithms that execute buy/sell orders based on efficiency and revenue criteria
- Congestion and curtailment forecasting to proactively manage grid constraints
- Interactive dashboard with KPI visualizations, scenario modeling, and alerts
- Integration hooks for existing Energy Management Systems via standardized APIs