HYDROWISE is an AI-driven, cloud-native platform developed by Renewasoft specifically for hydropower plants. By collecting and processing SCADA data in real time, HYDROWISE provides production forecasting, water flow forecasting, and early fault detection through advanced machine learning models. Fully integrated with the EPİAŞ Day-Ahead Market (DAM), the platform optimizes bidding strategies while predictive maintenance and asset health modules enable end-to-end digitalization of plant operations. Our mission is to deliver a scalable technology that increases efficiency, reduces operational risks, and brings the future of energy management to hydropower plants today.
HYDROWISE AI-Powered Hydropower Plant Management System
HYDROWISE is an AI-driven, cloud-based platform designed for hydropower plants. It unifies all production, operational, and market processes into a single centralized dashboard. By processing SCADA data in real time, HYDROWISE delivers production forecasting, water flow forecasting, and early fault detection powered by machine learning.
Integrated with the EPİAŞ Day-Ahead Market (DAM), HYDROWISE enables more accurate bidding strategies and helps reduce imbalance costs. With modules for maintenance management, asset health monitoring, data analytics, and automated reporting, the platform enhances plant efficiency and ensures secure, reliable operations.
Built on a scalable cloud-native architecture, HYDROWISE delivers high performance for both single-plant and multi-plant portfolios.
About Us
AI-Powered Hydropower Plant Management
Production Forecasting (AI)
HYDROWISE processes SCADA and sensor data using advanced machine learning models to generate hourly and daily production forecasts. Its AI-powered prediction engine accurately estimates the real production capacity of the plant and provides reliable data for EPİAŞ Day-Ahead Market (DAM) planning. This enables more precise bidding strategies and helps minimize imbalance costs.
Predictive Maintenance (AI)
HYDROWISE analyzes sensor and SCADA data to identify potential equipment failure risks in advance. With AI-powered predictive maintenance algorithms, equipment health is continuously monitored, unplanned downtime is significantly reduced, and maintenance costs are optimized. This ensures safer, more sustainable, and more efficient plant operations.
We Are Shaping the Future of Energy Management
🚀 Our Vision
At HYDROWISE, our vision is to build a fully autonomous, AI-powered, and sustainable management ecosystem for hydropower plants. By unifying production forecasting, EPİAŞ market planning, early fault detection, and asset management within a cloud-native platform, we aim to shape the future of energy management today.
Our goal is to enable hydropower plants to operate with enhanced efficiency, improved safety, and greater environmental sustainability through intelligent decision-making systems.
🔹 AI-Powered Autonomous Plant Management
🔹 AI-Powered Data-Driven Decision Support Mechanisms
🔹 AI-Powered Sustainable Hydroelectric Technologies
🌍 Our Mission
At HYDROWISE, our mission is to build an innovative, AI-driven management platform that optimizes production, maintenance, and operational processes for hydropower plants. Through real-time data analytics, intelligent predictive maintenance, and market-oriented production forecasting, our goal is to increase efficiency, reduce operational costs, and support sustainable energy generation.
Our solutions include:
✔ Big Data Analytics and AI-Powered Forecasting
✔ Real-Time Energy Management with SCADA and IoT
✔ Machine Learning-Based Predictive Maintenance Solutions
✔ Custom Business Intelligence Dashboards and Reporting Systems
💡 Increase efficiency in energy management and adapt to the technologies of the future with the HES Management System!
Brands That Choose Us
Our Partners
AI-Powered Smart Transformation in Energy Management
HYDROWISE delivers advanced data analytics and AI-driven management solutions for hydropower plants. By combining big data analytics, SCADA integration, and machine learning–based predictive maintenance, the platform transforms plant operations into a more efficient, reliable, and sustainable system.
📌 3 Key Steps to Kickstart Your AI Transformation Journey!
- Real-Time Data Collection
- Energy Production Optimization
- AI-Powered Smart Reporting and Decision Support System
2
Completed Project
3
Advanced Data Analytics Solution
3
Power Plant Management System Integration
2
Customer Satisfaction
HES Management System Modules
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AI-Based Production Forecasting & Processing Module
- Modeling of Water Flow and Reservoir Levels with Artificial Intelligence
- Real-Time Production Forecasts from SCADA and IoT Data Using Artificial Intelligence
- AI-Powered Hourly and Daily Production Forecasting
- Providing Reliable Data for AI-Powered Day-Ahead Planning for Energy Market Regulators
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AI-Powered Predictive Maintenance & Reporting Module
- Equipment Performance Analysis from SCADA and Sensor Data Using Artificial Intelligence
- AI-Powered Predictive Maintenance (Early Fault Detection)
- AI-Powered Maintenance Planning and Cost Optimization
- AI-Powered KPI Dashboards, Customizable Reports, and Decision Support System
Renewasoft Blog | Energy and Digital Transformation
Stay informed with the latest news, industry analyses, and innovative solutions!
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Intraday Market and Balancing Mechanism: Proactive, Not Reactive Management
The current limitations in electricity storage transform the electricity supply process into a product of complex balance and coordination, beyond just energy generation. Achieving the delicate equilibrium where every kilowatt-hour produced matches what is consumed is one of the biggest challenges for the electricity market. Within these constantly shifting dynamics, a system that instantaneously matches […]
GÖP / GİP / DGP: How Should a HES Operator Position Across Markets?
Renewasoft | Technical Blog Reading Time: ~18 min | Level: Intermediate Target Audience: HES operators, SCADA engineers, energy company managers Meta description: A practical guide for HES operators on how to position in GÖP, GİP, and DGP-step by step, with risk, deviation (imbalance) cost, and Hydrowise decision-support workflow. Keywords: GÖP, GİP, DGP, EPİAŞ, PTF, SMF, [...]
Why Is PTF Forecasting So Hard? Weather, Outages, Grid Constraints, and Demand Uncertainty A Data-Driven View for Hydropower Operators
RENEWASOFT | TECHNIC BLOG Reading Time: ~20-24 min | Level: Advanced Audience: Hydropower (HPP) operators, energy trading teams, SCADA engineers, product managers Meta description: Why is Turkey’s day-ahead PTF hard to forecast? We break down weather, outages, grid constraints and demand uncertainty plus a data-driven approach. Keywords: PTF forecasting, day-ahead market, EPİAŞ transparency, electricity price [...]Are You Ready for Digital Transformation in Energy Management?
HYDROWISE provides AI-driven and big data–powered solutions for hydropower plants. With production forecasting, SCADA integration, and predictive maintenance modules, the platform optimizes every operational process—boosting efficiency, reducing operational costs, and enabling intelligent plant management.
Key digital transformation advantages with HYDROWISE:
✅ Real-time data monitoring and seamless SCADA integration
✅ Reduced maintenance costs through ML-powered predictive maintenance
✅ Sustainability-focused energy production and consumption analytics
Take the first step in your plant’s digital transformation journey and experience the future of energy management today.
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