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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=168070"><dc:title>Economic dispatch of power plants using artificial intelligence chat bots</dc:title><dc:creator>Muratovska,	Eva	(Avtor)
	</dc:creator><dc:creator>Pantoš,	Miloš	(Mentor)
	</dc:creator><dc:subject>economic dispatch</dc:subject><dc:subject>artificial intelligence</dc:subject><dc:subject>chatbots</dc:subject><dc:subject>ChatGPT</dc:subject><dc:subject>Copilot</dc:subject><dc:description>The problem of the stability of the power systems has never been more important. The reason is the increased share of  renewable energy sources installed in power systems since these sources are unpredictive and incoprotate the need of advanced analytical tools, e.g. the forecasting tools. To combat this, strategic planning is needed too, to minimize costs and to optimize the usage of power plants, such as economic dispatch. But, as technology has progressed and the use of artificial intelligence is more prominent, the task of this thesis will be to see if economic dispatch can be solved using chatbots. In this thesis a problem with economic dispatch of three power plants will be solved first using a code written by a human, and then using chatbots. The results are then compared to see the artificially intelligent chatbots’ accuracy and efficiency.</dc:description><dc:date>2025</dc:date><dc:date>2025-03-27 14:35:00</dc:date><dc:type>Magistrsko delo/naloga</dc:type><dc:identifier>168070</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
