1. Napovedovanje povpraševanja v okviru upravljanja z oskrbno verigoGregor Vlahinič, 2005, undergraduate thesis Keywords: Slovenija, strojna industrija, industrijsko podjetje, Danfoss District Heating, poslovanje podjetja, prodaja, produkcija, preskrbovalne verige, povpraševanje, metode, analiza Full text (outside link) |
2. Upravljanje z varnostnimi zalogamiBoštjan Zimšek, 2008, undergraduate thesis Keywords: Slovenija, striojan industrija, industrijsko podjetje, Danfoss District Heating, poslovanje podjetja, zaloge, skladišča, varnost, kalkulacije, metode, analiza Full text (outside link) |
3. Linear and neural network-based models for short-term heat load forecastingPrimož Potočnik, Ervin Strmčnik, Edvard Govekar, 2015, original scientific article Keywords: district heating, heat load forecasting, feature extraction, stepwise regression, autoregressive model, neural networks Full text (file, 838,14 KB) This document has more files! More... |
4. Performance analysis of a district heating systemAndrej Ljubenko, Alojz Poredoš, Tatiana Morosuk, George Tsatsaronis, 2013, original scientific article Keywords: district heating systems, distribution network, energy, exergy, efficiency Full text (file, 705,62 KB) This document has more files! More... |
5. A thermo-economic and emissions analysis of different sanitary-water heating units embedded within fourth-generation district-heating systemsPrimož Poredoš, Boris Vidrih, Andrej Kitanovski, Alojz Poredoš, 2018, original scientific article Keywords: thermo-economic analysis, primary energy factor, emission analysis, district heating, simulations, heat pumps, emissions, energy systems analysis, heat energy generation, natural gas technology, fossil fuel, combustion Full text (file, 712,72 KB) This document has more files! More... |
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9. Condition classification of heating systems valves based on acoustic features and machine learningPrimož Potočnik, Borja Olmos Lopez-Roso, Lučka Vodopivec, Egon Susič, Edvard Govekar, 2020, original scientific article Keywords: valves, district heating, acoustic features, feature selection, classification, machine learning Full text (file, 1,76 MB) This document has more files! More... |
10. Machine-learning-based multi-step heat demand forecasting in a district heating systemPrimož Potočnik, Primož Škerl, Edvard Govekar, 2021, original scientific article Keywords: district heating, heat demand, short-term forecasting, machine learning, Gaussian process regression Full text (file, 1,98 MB) This document has more files! More... |