Electricity market participants need to optimize their processes to avoid being outcompeted by other traders. Consequently, decision-making methods, algorithms and tools related to large-scale energy storage technologies (scheduling, sizing) and cascaded hydropower plants (scheduling, hydroelectric set selection), as well as heating demand forecasting, which is a prerequisite for efficient combined heat and power plant participation in an electricity market.
About the author
Kārlis Baltputnis was born in 1991, in Ērgļi. He received a Bachelor’s Degree of Engineering Science in Electrical Science in 2013 and a Master’s Degree in Power and Electrical Engineering in 2015 from Riga Technical University. He has been working at the Institute of Power Engineering of RTU since 2015. Currently, he as a researcher takes part in various projects of National Research Programme “Energy” and EU Research and Innovation programme Horizon 2020.