Technology

Our AI-Powered Forecasting Technology

15–30% more accurate energy production forecasts for hydroelectric power plants using our custom-built artificial intelligence algorithms.

Renewasoft provides highly accurate day-ahead and intraday production forecasts for hydroelectric power plants using fully in-house developed artificial intelligence models. Our deep-learning systems are powered by meteorological data, hydrological simulations, and real-time SCADA inputs, achieving 88–94% accuracy, significantly outperforming traditional forecasting methods. Running on Google Cloud’s enterprise-grade infrastructure, our system delivers a secure, scalable, and high-performance forecasting service.

    Thumb

    Enterprise Cloud Infrastructure

    The Renewasoft platform operates on Google Cloud Platform’s enterprise-grade infrastructure, providing high-level security, 99.9% uptime, and unlimited scalability. Your data is stored in encrypted form within some of the most secure data centers in the world.

    Artificial Intelligence and Machine Learning

    We use Google Cloud’s Vertex AI platform to train and operate our custom deep-learning models. This platform provides powerful GPU/TPU resources for model training and automatic scaling for production environments.

    Data Storage and Processing

    BigQuery: Storing over 10 years of meteorological and production data at petabyte scale and querying it in seconds.
    Cloud Storage: Storing raw SCADA data, radar imagery, and satellite data in a secure data lake.
    Pub/Sub: Messaging infrastructure for real-time data streams.

    Application Services

    Google Kubernetes Engine (GKE):Running our API and dashboard services in a fully containerized architecture.
    Cloud Run: Serverless infrastructure for low-frequency operations.
    Cloud Functions: Automatic notifications and event-driven workflows.

    Security and Backup

    TLS 1.3 encryption (data in transit)
    AES-256 encryption (data at rest)
    Multi-region backups (Turkey and Europe)
    ISO 27001–compliant security standards

    Shape

    Our AI Models — Proprietary Forecasting Algorithms

    Renewasoft’s core competitive advantage lies in the proprietary artificial intelligence algorithms and hydrological models developed by our in-house R&D team. Our hybrid approach—combining physics-based simulations with deep learning models—is unique within the industry.

    Shape

    Physics-Based Hydrological Models

    • Watershed simulation and flow forecasting.
    • Snowmelt and soil-moisture calculations.
    • Reservoir dynamics for dam operations.
    • Turbine performance models.

    Deep Learning Algorithms

    • LSTM (Long Short-Term Memory) Networks: Learn long-term dependencies for time-series forecasting.
    • ChatGPT: Ensemble Modeling: The weighted average of five different models to produce the most stable and reliable forecasts.
    • Transfer Learning: Rapid model adaptation for each power plant.
    • Continuous Learning: Models automatically update themselves with every new data input.

    Feature Engineering

    • Meteorological: Temperature, pressure, precipitation, wind (7-day history + forecasts).
    • Hydrological: Water level, flow rate, snow cover, soil moisture
    • Operational: Turbine status, historical performance, maintenance schedules
    • Market: EPİAŞ prices, grid demand signals
    Thumb

    Technical Specifications

    01

    Real-Time and Scalable Performance

    API response time: <100 ms
    Forecast refresh interval: Every 15 minutes
    Concurrent power plant management: 100+
    System availability: 99.9%

    02

    Integrations

    Automatic data acquisition from EPİAŞ
    SCADA systems (Modbus, OPC UA, IEC 61850)
    Easy integration via RESTful API
    Webhook support (automated notifications)

    03

    Security

    Enterprise-grade encryption
    Multi-factor authentication
    Role-based access control
    Fully compliant with KVKK and GDPR

    Our Future Roadmap

    Continuous Improvement and Innovation

    • 2025 Q2 – Advanced Language Model Integration: Google Gemini API integration for natural-language querying and automated report generation.
    • 2025 Q3 – Multi-Energy Expansion: Addition of wind and solar energy forecasting models.
    • 2025 Q4 – Autonomous Optimization: An automated decision-support system powered by reinforcement learning (RL).
    • 2026 – Regional Expansion: Adaptation and deployment across Balkan and Central Asian countries.
    Thumb
    Thumb

    Why Google Cloud?

    Here are the five main reasons we chose Google Cloud as our infrastructure provider:

    01

    AI Leadership

    Vertex AI is one of the most advanced machine learning platforms in the world. TPU access and automated optimization tools are critically important for training our models.

    02

    Data Analytics Excellence

    BigQuery delivers unmatched performance for petabyte-scale data analytics. We can run complex queries on 10 years of data in just 2–3 seconds.

    03

    Unlimited Scalability

    Scaling from 10 power plants to 1,000 requires no infrastructure changes. Thanks to automatic scaling, resources increase seamlessly as demand grows.

    Thumb
    04

    Security and Compliance

    International certifications such as ISO 27001, SOC 2, and GDPR. Our data remains within European data centers.

    05

    Cost Optimization

    With the pay-as-you-go model, we only pay for what we use. Thanks to Google’s startup support, we achieve up to 90% cost savings in the first years.