11. An analysis of the oil shocks using three-pass regression filter factor estimation within the favarMiha Breznikar, 2018, master's thesis Keywords: oil, price, pricing, supply, demand, speculations, models, econometrics, calculations, evaluation, regression analysis Full text (outside link) |
|
|
14. Market-based business model for flexible energy aggregators in distribution networksJernej Zupančič, Blaž Prislan, Edin Lakić, Tomi Medved, Andrej Gubina, Andreas Türk, V. Kulmer, 2017, published scientific conference contribution Keywords: aggregators business models, demand response, distributed renewable energy sources, sensitivity analysis, Project INCREASE Full text (file, 575,13 KB) This document has more files! More... |
|
16. Pravni vidiki pretočnega prenosa glasbeTajda Meze, 2019, master's thesis/paper Keywords: pretočno predvajanje, streaming, streaming on demand, live streaming, Direktiva o avtorskih pravicah, avtorske pravice, avtorsko pravo, kolektivno upravljanje, platforma za pretočno predvajanje, Spotify, Youtube, Soundcloud, Creative Commons, ZASP Full text (file, 893,68 KB) |
17. Pulses on demand in fibre and hybrid lasersRok Petkovšek, Vid Agrež, Jaka Petelin, Luka Černe, Udo Bünting, Boštjan Podobnik, 2019, original scientific article Keywords: pulse on demand, fibre lasers, gain control, arbitrary repetition rate Full text (file, 1,09 MB) This document has more files! More... |
18. The effect of population aging on heating energy demand on national levelŽiga Lampret, Gorazd Krese, Matjaž Prek, 2019, original scientific article Keywords: energy forecasting, residential energy demand, space heating, domestic hot water, ageing society, base temperature Full text (file, 457,25 KB) This document has more files! More... |
19. Sources of value in the cannabis industryMark Malis, 2019, master's thesis Keywords: Canada, health, drugs, cannabis, market, supply, demand, trends, valuation Full text (outside link) |
20. 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... |