REN3For provides a cloud‑native platform that delivers 96‑hour, site‑specific weather and power output forecasts with ~99 % accuracy for wind, solar, hydro and geothermal assets. The system ingests real‑time IoT telemetry and fuses multiple weather models, offering an API and web dashboard for integration with SCADA, EMS and trading systems to improve dispatch, maintenance planning and ESG reporting. Operators use the analytics to increase generation reliability and reduce operational costs.
Funding
Funding not disclosed
Founders
Product
Problem
Wind, solar, and hydro operators face high uncertainty in short‑term weather forecasts, grid reliability, equipment lifespan, and maintenance scheduling, which hampers efficient energy production and revenue optimization.
Solution
REN3For delivers a cloud‑native Predictive Weather and Power platform that generates 96‑hour forecasts with approximately 99 % accuracy. The system ingests real‑time telemetry from IoT sensors on turbines, solar panels, and hydro assets, and fuses multiple weather models to produce location‑specific power output predictions. Continuous updates enable operators to adjust dispatch, plan maintenance, and optimize asset performance on the fly. An open API and web‑based dashboard provide seamless integration with existing energy management and SCADA systems. The platform’s analytics improve bottom‑line profitability, lower operational costs, and support ESG reporting by enhancing renewable generation reliability.
Target Audience
Primary customers are renewable energy asset owners, operators, and independent power producers managing wind farms, solar parks, and hydro facilities, as well as grid operators and energy traders requiring accurate short‑term forecasts.
Features
- 96‑hour high‑resolution weather forecast engine with ~99 % accuracy, calibrated for renewable sites
- Real‑time ingestion of IoT telemetry (wind speed, solar irradiance, hydro flow) and equipment health data
- Multi‑source weather model assimilation to reconcile disparate forecasts across geographic regions
- Power output prediction algorithms for wind turbines, solar PV, hydro, and geothermal assets
- RESTful API and SDKs for integration with SCADA, EMS, and trading platforms
- Interactive web dashboard with live visualizations, scenario analysis, and automated alerting for forecast deviations
- Scalable cloud architecture with role‑based access control and end‑to‑end encryption for data security
- Built‑in reporting tools to streamline ESG and regulatory compliance documentation