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Evaluation of a Machine Learning Approach To Heat Prediction
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
2002 (English)Independent thesis Basic level (degree of Bachelor)Student thesisAlternative title
Utvärdering av en maskininlärningssyn på värmeprediktion (Swedish)
Abstract [en]

This is a report about machine learning in the field of computer science. The problem handled is prediction of energy consumption in district heating systems. Prediction of energy consumption in district heating systems is a delicate problem because of the social behaviours, weather and distribution time that has to be accounted for. One algorithm is introduced and three different experiments are made to determine if the algorithm is useful. The results from the experiments were good. This report differs in approach to the problem then other reports found in this field. The difference is that this report tries to handle social behaviours and looks at a decentralized view of the problem instead of centralized.

Abstract [sv]

Denna rapport är om maskininlärning och hur mna kan använda en maskinlärningsalgoritm för att förutspå konsumption i fjärrvärmenät. Rapporten skiljer sig markant i synsätt jämt emot andra rapporter i ämnet genom att den tittar även på de sociala faktorerna.

Place, publisher, year, edition, pages
2002. , 19 p.
Keyword [en]
maskininlärning, machine learning, fjärrvärme, district heating, artifical inteligence
Keyword [sv]
Fristående kurs
National Category
Computer Science
URN: urn:nbn:se:bth-2753Local ID: diva2:830045
Available from: 2015-04-22 Created: 2002-06-03 Last updated: 2015-06-30Bibliographically approved

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