Renewable energy technologies suffer from source (wind, sun, etc.) instability which distorts electricity grid's health and therefore is costly. We developed a data management software, PreD, that aggregates all available data and processes them via tailor-made algorithms, so that the user can adjust power plant's daily position in the market in a way that forecasted and actual generation matches.
BSc Industrial Eng. at Istanbul Tech. Uni., MSc Energy Economics at Uni. College London, PhD (c) at Koc Uni. 1.5 years of hands-on experience in TR energy market (Market Intelligence Analyst at Enerjisa / JV of E.ON, Trade Portfolio Analyst at Naksan Enerji). Skills: optimization, machine learning.