Energy Monitoring and Forecasting

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Energy Monitoring and Forecasting Research Group designs, develops, commissions, and provides technical support for large-scale remote monitoring, reporting, forecasting, and optimization systems (including software and hardware components) for the power grid and renewable energy power plants (wind and hydroelectric power plants).


  • Development of large-scale monitoring and control systems for electrical grids
  • Development of monitoring and forecasting systems for wind power plants
  • Development of monitoring, forecasting and optimization systems for hydroelectric power plants
  • Development of monitoring and forecasting systems for renewable energy sources
  • Development of machine learning and deep learning based classification and prediction applications on energy data
  • Energy information systems, energy informatics


Current Projects

1. Power Quality (Electrical Quality) and Network Monitoring System Project (2021 - 2025):Electrical Quality and Network Monitoring System (EKAŞ) to be developed aims to automatically collect and store data related to the electricity grid, including transmission and distribution main feeders, to allow the entire network to be monitored in a holistic structure, to analyze data using various methods including artificial intelligence methods, and to automatically generate necessary reports through this system.

2. ATHOM Development and Dissemination Project (2020 - 2026): The ATHOM system, which was developed and commissioned for the Seyhan Basin, is aimed to be developed with new forecasting and optimization models and extended to the basins of the Euphrates-Tigris, Kızılırmak, Yeşilırmak, and Ceyhan rivers, which include the largest river basins of Turkiye.

3. Wind Monitoring and Forecasting Center (RITM) System Improvement Project (2020 - 2022): The project aims to ensure the smooth operation of the existing RİTM system components throughout the project duration, improve the infrastructure by migrating physical servers to a virtual server environment, and enhance the prediction performance and range by adding new weather forecast sources to the system (

4. Technology Collaboration Project for Developing a 7-Feeder Power Quality Analyzer (2019 - 2021):This project aims to develop a power quality analyzer for making simultaneous measurements on 7 feeders with common voltage channels, through the know-how achieved -jointly by TÜBİTAK MAM and Saudi Arabian KACST- with the power quality analyzer that makes high precision and accuracy measurements in compliance with IEC 61000-4-30, IEC 61000-4-7 and IEC 61000-4-15 standards.

Completed Projects

1. National Power Quality Project - Power Quality Monitoring Sub-Project (2006 - 2010):The Power Quality Monitoring System, developed within the scope of the project, allows collecting electrical quantities related to power quality synchronously from electrical network through the power quality analyzers developed nationally within the scope of the project, storing them in a central database, and monitoring, analyzing and reporting them through relevant user interfaces.

2. Phasor Measurement Unit (PMU) Project (2010 - 2010):  The measurement software of the power quality analyzers developed within the scope of the National Power Quality Project has been improved to calculate phasor data in 100 ms. averages, enabling them to function as a Phasor Measurement Unit (PMU) as well.

3. Monitoring and Forecasting of Wind Power in Turkiye (RITM) Project (2010 - 2015): The RITM project aims to develop a system that will allow forecasting power generation in wind energy power plants in Turkiye using various physical, statistical, and hybrid methods for very short (0-6 hours) and short (6-48 hours) periods, and monitoring these estimated power data together with actual generation.

4. Technology Collaboration Project for Power Quality Monitoring (2013 - 2017): This project aims to transfer the R&D experience and software-hardware know-how gained from the National Power Quality Project and its follow-up projects to the KACST (King Abdulaziz City for Science and Technology) institution in Saudi Arabia through a technology transfer project.

5. Flow Estimation and Basin Optimization Model (ATHOM) Project (2016 - 2021): It is a large-scale system that allows estimating future water flow in the dams and hydroelectric power plants (HEPP) in the pilot basin of Seyhan River, forming management policies for both flood forecasts and energy management purposes at dam and basin scale, and accessing all outputs through a Web-based user interface.