I build energy forecasting systems and analyse wind resources, combining atmospheric science, machine learning and operational experience in European and Turkish energy markets.
From operational forecasts for energy markets to the technical assessment of renewable energy projects.
01ENERGY MARKETS
Energy forecasting & trading analytics
Production systems that turn newly available atmospheric and numerical weather prediction data into country-level energy forecasts and trading insights.
Wind, solar, electricity demand, residual load and natural gas demand
Data ingestion, quality control, postprocessing and automated delivery
Forecast deltas, atmospheric regimes, renewable risk and daily briefings
Machine learning and AI weather models, including GraphCast and GenCast
R · Python · NWP · Machine learning · Power & gas
02RENEWABLE PROJECTS
Wind resource assessment & micrositing
Resource modelling, energy yield analysis and site evaluation for wind and hybrid projects, supported by atmospheric modelling, SCADA data and analytical tools.
Long-term correction, annual energy production and uncertainty analysis
Layout optimisation, turbine suitability and loss assessment
Due diligence, repowering, relocation and hybrid project evaluation
SCADA performance diagnostics and automated engineering dashboards
windPRO · Meteodyn · Windographer · QGIS · SCADA
SELECTED WORK
Tools for exploring energy and climate.
INTERACTIVE DASHBOARD
Climate Forecastory
Explore wind, solar and precipitation indicators for Europe and Türkiye across SSP1-2.6, SSP2-4.5 and SSP5-8.5 using EC-Earth3 projections from PECD v4.2.
Select a location to examine time series, seasonal patterns, anomalies and trends. Compare scenarios and export the underlying location data.
My work combines atmospheric science, operational forecasting and hands-on experience in renewable energy.
CURRENT FOCUS
Forecasting for power & gas markets
I build and operate country-level forecasts for wind, solar, electricity demand, residual load and natural gas demand. My work covers the full pipeline: ingesting weather model data as soon as it becomes available, checking its quality, applying machine learning and delivering forecasts for daily trading decisions.
I also analyse forecast changes, atmospheric circulation, teleconnections and model uncertainty to explain what changing weather conditions mean for energy markets, from the short term to seasonal outlooks.
BROADER EXPERIENCE
Renewable projects, analytics & team leadership
My background includes wind resource assessment, micrositing, energy yield and uncertainty analysis, turbine suitability and project due diligence. I have worked on greenfield development, repowering, relocation and hybrid wind and solar studies.
I have led engineering, forecasting and energy trading teams, and connected production forecasts with day-ahead and intraday operations. Alongside that work, I have built R and Python tools for SCADA diagnostics, performance analysis, automated reporting and interactive dashboards.
RESEARCH & EDUCATION
A foundation in atmospheric science.
Istanbul Technical University
2016–2022
PhD · Meteorological Engineering
Short-term wind power generation forecasting by coupling numerical weather prediction models and machine learning algorithms.
2014–2016
MSc · Meteorological Engineering
2009–2014
BSc · Meteorological Engineering
Specialist training
DTU Wind Energy, Risø · Remote Sensing for Wind Energy, PhD Summer School (2019) EMD International · windPRO Training (2022)
