ENERGY
RITM
Wind Power Monitoring and Forecasting Center
The Wind Power Monitoring and Forecasting Center (RITM) is a high-tech system developed to monitor the generation capacity of wind power plants in Turkey in real time and make short-medium term generation forecasts. The system integrates meteorological model data (GFS, ECMWF, WRF, etc.), real-time SCADA data from power plants and power quality measurements and provides generation forecasts with artificial intelligence-supported forecasting algorithms. The RITM platform has the capacity to generate forecasts for time periods ranging from 6 hours to 72 hours, using both physical modeling (numerical weather prediction) and data-driven approaches (machine learning). Developed in cooperation with TEİAŞ and TÜBİTAK MAM, this system contributes to the balance between energy supply and demand, and provides a strategic technology infrastructure that supports the safe, sustainable and efficient operation of the electricity grid.
Technology / Product Overview
It is a national center and software system that monitors the production of all Wind Power Plants (WPPs) in Turkey in real time and produces power forecasts that are critical for grid operations. It is the first of its kind in Turkey and is recognized as one of the leading applications in the world.
Technology / Product Name
Wind Power Monitoring and Forecasting System
Technology / Product Short (Code) Name
RITM
Technology / Product Type
Final Product / National Monitoring System
Technology / Product Features and Benefits
The benefits of RITM include optimizing the energy supply and demand balance, making grid management more efficient, using wind energy more effectively in the system and making investment decisions in a data-driven manner. In addition to being a strategic tool for energy sector professionals and power plant operators, this technology also contributes to increasing sustainable energy use.
Developer Research Groups
BYET Energy Monitoring and Forecasting AG
Production and Technology Status
Installation/Production Capacity
It has the capacity to install and update 1 national system per year.
Current Status
The system is active and in use.
Technology Readiness Level (THS)
THS 8
Technical Skills
Real Time Monitoring System
It is one of the key components of the Wind Power Monitoring and Forecasting Center (WPMC) platform and is a powerful technology used to track the instantaneous power generation capacity of wind farms. This system collects SCADA data and power quality measurements from each wind farm and continuously monitors their performance. Thanks to the real-time data flow, parameters such as electricity generation, wind speed, direction and energy efficiency of the plants are monitored instantaneously. This data allows grid operators to quickly detect sudden changes in power generation and potential faults. Furthermore, the system makes the integration of wind energy into the grid more efficient, strengthening grid control and helping to maintain the supply-demand balance. Real-time monitoring optimizes the performance of wind farms and provides a key source of data for better forecasting and decision-making in power generation.
Production Forecasting Models
It is one of the most critical elements of the Wind Power Monitoring and Forecasting Center (WPMC) system and encompasses advanced mathematical and statistical methods used to predict the future generation of wind energy. These models integrate with international weather forecasting models such as GFS and ECMWF to analyze wind speed, direction and other atmospheric parameters. In addition, local meteorological models, such as ALADIN and WRF, provide more detailed and regional weather forecasts, enabling more precise prediction of wind power generation. Machine learning algorithms continuously improve the accuracy of the model with historical data, generating short-term (6 hours) and long-term (up to 72 hours) generation forecasts. This allows grid operators to anticipate energy demand fluctuations, ensure efficient use of energy resources and minimize potential generation losses. By enabling more effective integration of wind energy, generation forecasting models support the sustainability of energy supply and grid security.
Data Analytics Tools
They are powerful technological components that increase the efficiency of the Wind Power Monitoring and Forecasting Center (WPMC) system and allow for in-depth analysis of data related to wind power generation. These tools are used to process and analyze the large data sets collected and generate meaningful insights. Machine learning, artificial intelligence and statistical analysis methods help to interpret wind farm performance data more effectively, while improving the accuracy of the system's energy production forecasts. Furthermore, advanced techniques such as time series analysis and clustering algorithms analyze historical generation data and weather parameters to predict future power generation trends. Data analytics tools aggregate information from instantaneous monitoring data, enabling early detection of deviations in power generation and potential failures. In addition to optimizing the efficiency of power plants, these tools provide grid operators with the ability to make more informed and faster decisions in energy management. As a result, data analytics tools support sustainable energy production by enabling more efficient use of wind energy in the system.
Optimization and Decision Support Software
They are critical tools used to maximize the efficiency of the Wind Power Monitoring and Forecasting Center (WPMC) system and optimize the integration of wind energy into the grid. This software works by analyzing real-time data from wind farms and results from weather forecasting models in order to achieve the most efficient results in energy production. Optimization algorithms predict when and how much wind energy will be generated and integrate this data into grid management to balance energy supply and demand. At the same time, decision support software provides analytics for plant managers and grid operators to make data-driven decisions. This software provides significant benefits in efficiently directing energy production, minimizing potential outages and reducing operational costs. Powered by artificial intelligence and machine learning algorithms, this software supports not only immediate decisions but also long-term strategic decisions. This contributes to a more efficient, sustainable and economical use of wind energy in the system.
- Wind Power Plants (WPP) and System Operators (TEİAŞ): Monitoring the production of wind power plants instantaneously, planning grid balancing and day-ahead/intra-day market operations with production forecasts.
