Lēmumatbalsta metodes, algoritmi un rīki elektroenerģijas tirgus dalībniekiem

Electricity markets participants need to optimize their processes to avoid being outcompeted by other traders. Furthermore, the efficient operation of the market also depends on bodies organizing and regulating it, i.e. market operators, system operators and policy-makers.

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, are developed in this Thesis. On the other hand, for the sake of policy-makers, decision-support is realized in the form of modelling, assessment and recommendations in regards to the influence of large cogeneration plants on the electricity market and, subsequently, the options to change the support these plants are subjected to. A common feature of these topics is the aim to increase the efficiency of electricity market operation, albeit from different perspectives.