REEN AI

Renewable-energy assets generate massive volumes of real-time data but traditionally lack unified intelligence, predictive capability, operational optimization, and risk-aware decisioning.

REEN AI solves this by creating a single intelligence layer that forecasts, optimizes, and stabilizes renewable-energy production across multi-regional solar assets.

This enables operators and investors to achieve higher yield, more predictable performance, and reduced risk exposure.

REEN AI ingests data from:

• On-site SCADA systems and sensors
• Irradiance and weather APIs
• Grid-signal and price-curve feeds
• Inverter and asset-health logs
• Historical operational datasets

Data flows from edge controllers into the cloud pipeline, where it is normalized, validated with anomaly detection, stored in time-series format, and fed into forecasting and optimization engines.

REEN AI uses a combination of:

• Short-term neural forecasting models (minutes to 24 hours)
• Mid-term scenario engines (1 to 5 years)
• Constraint-based optimization models for dispatch, tilt control, curtailment, and grid interaction

These models run continuously and evolve from region-specific patterns, weather cycles, and grid behavior.

ESI™ is an internal Renewable Ergon framework that quantifies market signals, policy momentum, localized weather cycles, grid dynamics, operational volatility, and investor sentiment toward clean energy.

The Index provides a predictive score indicating the short-term and mid-term stability of a given renewable-energy region.

It is designed to support investor positioning, asset allocation, and hedging strategies.

REEN AI delivers:

• Real-time operational optimization
• Next-hour and next-day yield forecasts
• Grid-export capacity predictions
• AI-driven maintenance recommendations
• ESG automation (CO₂ offset, capacity-factor reporting)
• Risk & stability indicators
• Portfolio-wide dashboards

These outputs help teams operate more efficiently while providing predictable performance intelligence to investors.

REEN AI does both. It is not just a dashboard — it is an active optimization engine.

It can:

• Suggest optimal tilt or dispatch settings
• Optimize battery charge/discharge cycles
• Reduce curtailment losses
• Identify anomalies before they affect yield
• Automate reporting and ESG calculations

Actions can be manual, semi-automated, or fully automated depending on site configuration.

REEN AI increases production through:

• Dynamic tilt-angle optimization
• Real-time irradiance adaptation
• Predictive curtailment avoidance
• Inverter health monitoring
• Optimal export scheduling based on grid patterns

In internal simulations, this results in 2–7% uplift depending on site maturity, climate, and grid conditions.

Yes — REEN AI follows enterprise-grade security:

• Encrypted data transmission (TLS 1.3)
• Authentication/authorization layers
• SOC-aligned logging & compliance
• Role-based access control
• Isolated infrastructure for investor dashboards
• Audit trails for every model-driven action

No sensitive investor data leaves the secure environment.

No. REEN AI augments, not replaces, human expertise.

Operators retain all final decision-making authority. REEN AI provides the best possible recommendations, forecasts, and risk signals so teams can operate faster, more accurately, and more safely.

Yes. REEN AI is designed to integrate with:

• Existing SCADA systems
• Leading inverter brands
• Third-party data platforms
• Asset-health monitoring tools

For new solar farms, REEN AI can be deployed from day one with edge controllers.

REEN AI currently supports multi-region portfolios across:

• Taiwan (Budai, Chiayi)
• Singapore (Kranji Reservoir)
• California (Kern County)
• New Jersey (East Coast)

New regions can be added through a standardized onboarding process.

REEN AI's live dashboards and optimization controls are only accessible to enrolled institutional partners.

However, public visitors can view non-sensitive visualizations, simulation demos, and architectural explanations.

Institutional partners receive deeper model access, API endpoints, full performance reports, investor risk tools, and ESI™ sentiment analysis.

REEN AI automates:

• CO₂ offset calculations
• Capacity-factor reporting
• Grid-export tracking
• Energy-efficiency metrics
• Long-term environmental impact modeling

This reduces reporting time and increases accuracy for compliance and sustainability frameworks.

REEN AI is built specifically for institutional-grade energy operations, not retail applications.

Key differentiators:

• Real-time edge-to-cloud optimization
• AI-driven multi-region stability forecasting
• ESG automation built directly into the core
• Investor-grade reporting
• Risk-control frameworks
• Energy Sentiment Index (ESI™)