Can you aggregate data from different inverter and turbine manufacturers?

Yes. We build vendor-agnostic data ingestion pipelines that normalize data from SMA, Huawei, SolarEdge, Vestas, Siemens Gamesa, and other manufacturers into a unified data model.

How accurate are your generation forecasts?

Our ML forecasting models typically achieve 90-95% accuracy for day-ahead solar forecasts and 85-90% for wind, improving over time as the model trains on site-specific data.

Do you support battery energy storage systems?

Yes. We build BESS monitoring and optimization tools that manage charge/discharge cycles, state of health tracking, and co-optimization with solar or wind assets for maximum revenue.

Can you integrate with energy trading platforms?

We integrate with wholesale energy markets and trading platforms via their APIs to automate bid submission based on generation forecasts and market price signals.

Software for the Renewable Energy Transition

From solar farm monitoring to energy trading platforms, Bookuvai builds custom software that maximizes generation, reduces downtime, and accelerates clean energy deployment.

Industry: Renewable Energy

Pain Points

Asset Performance Monitoring at Scale: Renewable energy portfolios span hundreds of sites with thousands of inverters, turbines, and meters. Aggregating performance data from diverse equipment vendors into a unified view is a major challenge.
Intermittency and Forecasting: Solar and wind generation depends on weather. Inaccurate production forecasts lead to grid imbalance penalties, curtailment losses, and suboptimal energy trading decisions.
Complex Regulatory and Incentive Tracking: Renewable energy certificates (RECs), feed-in tariffs, tax credits, and carbon credits each have different tracking, reporting, and compliance requirements across jurisdictions.

Solutions

Asset Performance Management: Unified monitoring dashboards for solar, wind, and storage assets with real-time generation data, inverter-level diagnostics, and performance ratio analytics.
- Multi-vendor data aggregation
- Real-time generation monitoring
- Performance ratio and availability tracking
- Predictive maintenance alerts
Energy Forecasting and Trading: Machine learning-based generation forecasting combined with energy market integration for optimizing day-ahead and intraday trading strategies.
- Weather-based generation forecasting
- Day-ahead and intraday market integration
- Battery storage optimization
- Curtailment minimization algorithms
REC and Carbon Credit Management: Platforms for tracking renewable energy certificate generation, carbon credit eligibility, and compliance reporting across multiple regulatory frameworks.
- REC generation and retirement tracking
- Carbon credit calculation and registry integration
- Multi-jurisdiction compliance reporting
- Audit trail and documentation

Use Cases

Solar Portfolio Dashboard — A monitoring dashboard aggregating data from 50+ solar sites with inverter-level performance, weather overlay, and automated underperformance alerting. (160-240, $320-$480, 8-12 weeks)
Wind Farm Generation Forecasting — An ML-based forecasting system predicting wind farm output 24-72 hours ahead using weather models, historical generation, and turbine availability data. (200-300, $400-$600, 10-14 weeks)
REC Tracking Platform — A renewable energy certificate management platform tracking generation, creating certificates, managing transfers, and generating compliance reports. (120-180, $240-$360, 6-9 weeks)

Compliance Notes

NERC reliability standards for grid-connected generation
State RPS (Renewable Portfolio Standard) requirements
IEC 61724 photovoltaic system performance monitoring

Frequently Asked Questions

Can you aggregate data from different inverter and turbine manufacturers?: Yes. We build vendor-agnostic data ingestion pipelines that normalize data from SMA, Huawei, SolarEdge, Vestas, Siemens Gamesa, and other manufacturers into a unified data model.
How accurate are your generation forecasts?: Our ML forecasting models typically achieve 90-95% accuracy for day-ahead solar forecasts and 85-90% for wind, improving over time as the model trains on site-specific data.
Do you support battery energy storage systems?: Yes. We build BESS monitoring and optimization tools that manage charge/discharge cycles, state of health tracking, and co-optimization with solar or wind assets for maximum revenue.
Can you integrate with energy trading platforms?: We integrate with wholesale energy markets and trading platforms via their APIs to automate bid submission based on generation forecasts and market price signals.