RENEWASOFT
Technology

Our AI-Powered Forecasting Technology

AI algorithms developed in-house for hydroelectric power plants, delivering 15-30% more accurate energy production forecasts.

Renewasoft delivers precise production forecasts for day-ahead and intraday markets using AI models developed entirely in-house for hydroelectric power plants. Our deep learning models, fed by meteorological data, hydrological simulations and real-time SCADA data, reach 88-94% accuracy compared to traditional methods. Running on Google Cloud's enterprise infrastructure, our system delivers secure and scalable service.

88-94%

Accuracy Rate

15-30%

Better Forecasting

<100ms

API Response Time

Infrastructure

Enterprise Cloud Infrastructure

The Renewasoft platform runs on Google Cloud Platform's enterprise-grade infrastructure services, providing high security, a 99.9% uptime guarantee, and unlimited scalability.

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AI and Machine Learning

We use Google Cloud's Vertex AI platform to train and run our in-house deep learning models. This platform provides powerful GPU/TPU resources for model training and automatic scaling for production.

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Data Storage and Processing

  • BigQuery: Storing 10+ years of data at petabyte scale and querying it in seconds
  • Cloud Storage: Securely storing raw SCADA data, radar images and satellite data in a data lake
  • Pub/Sub: Messaging infrastructure for real-time data streams
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Application Services

  • Google Kubernetes Engine (GKE): Running API and dashboard services in a containerized way
  • Cloud Run: Serverless infrastructure for low-frequency operations
  • Cloud Functions: Automated notifications and event-driven operations
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Security and Backup

  • TLS 1.3 encryption (data in transit)
  • AES-256 encryption (data at rest)
  • Multi-region backup (Turkey and Europe)
  • ISO 27001 compliant security standards
R&D

Our AI Models: In-House Forecasting Algorithms

Renewasoft's core competitive advantage is the proprietary AI algorithms and hydrological models developed by our own R&D team. Our hybrid approach, combining physics-based simulations with deep learning models, is unique in the industry.

01

Physics-Based Hydrological Models

  • Watershed simulation and flow forecasting
  • Snowmelt and soil moisture calculations
  • Dam reservoir dynamics
  • Turbine performance models
02

Deep Learning Algorithms

  • LSTM Networks: Learn long-term dependencies for time-series forecasting
  • Ensemble Modeling: Most stable forecasts via weighted average of 5 different models
  • Transfer Learning: Fast model adaptation per plant
  • Continuous Learning: Models update themselves with every new data point
03

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 plans
  • Market: EPİAŞ prices, grid demand signals
Specifications

Technical Specifications

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Real-Time and Scalable Performance

API response time
<100ms
Forecast update
every 15 minutes
Concurrent plant management
100+
System availability
99.9%
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Integrations

Özellik 1
Automated EPİAŞ data retrieval
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SCADA systems (Modbus, OPC UA, IEC 61850)
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Easy integration via RESTful API
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Webhook support (automated notifications)
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Security

Özellik 1
Enterprise-grade encryption
Özellik 2
Multi-factor authentication
Özellik 3
Role-based access control
Özellik 4
KVKK and GDPR compliant
Roadmap

Our Future Roadmap

We continue to grow our product with a mindset of continuous development and innovation.

2025 Q2

Advanced Language Model Integration

Google Gemini API integration for natural language querying and automated report generation.

2025 Q3

Multi-Source Energy

Adding wind and solar energy forecasting models.

2025 Q4

Autonomous Optimization

Automated decision support system powered by Reinforcement Learning.

2026

Regional Expansion

Adaptation for the Balkans and Central Asian countries.

Why Google Cloud?

5 Reasons We Chose Our Infrastructure Provider

AI Leadership

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