Summary of the Doctoral Thesis "Decision-Making Support Methods, Algorithms and Tools for Electricity Market Participants" cover

Decision-Making Support Methods, Algorithms and Tools for Electricity Market Participants

Summary of the Doctoral Thesis

Kārlis Baltputnis, Riga Technical University, Latvia
ORCID iD http://orcid.org/0000-0003-3084-0820

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.

Additional information

DOI

https://doi.org/10.7250/9789934225093

Hyperlink

https://ortus.rtu.lv/science/lv/publications/31253

Defence date

12.11.2020.

ISBN (print)

978-9934-22-508-6

ISBN (pdf)

978-9934-22-509-3

Format

Pages

45

Published online

Publisher

RTU Press

Country of Publication

Latvia

Publication language

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