Details

Energy production mix in the EU : a machine learning and data mining analysis
ID Stahlhacke, Marco (Author), ID Groznik, Aleš (Mentor) More about this mentor... This link opens in a new window, ID Henriques, Roberto (Comentor)

URLURL - Presentation file, Visit http://www.cek.ef.uni-lj.si/magister/stahlhacke4051-B.pdf This link opens in a new window

Language:English
Keywords:EU, energetics, renewable energy source, climate change, environmental protection, information, data mining, artificial intelligence, economic forecasting
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EF - School of Economics and Business
Place of publishing:Ljubljana
Publisher:[M. Stahlhacke]
Year:2020
Number of pages:V, 79, 8 str.
PID:20.500.12556/RUL-129316 This link opens in a new window
UDC:004.6
COBISS.SI-ID:50415363 This link opens in a new window
Publication date in RUL:02.09.2021
Views:1375
Downloads:94
Metadata:XML DC-XML DC-RDF
:
STAHLHACKE, Marco, 2020, Energy production mix in the EU : a machine learning and data mining analysis [online]. Master’s thesis. Ljubljana : M. Stahlhacke. [Accessed 25 March 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/magister/stahlhacke4051-B.pdf
Copy citation
Share:Bookmark and Share

Secondary language

Language:Slovenian
Title:Proizvodnja mešanice električne energije v evropski uniji: analiza vloge strojnega učenja in podatkovnega rudarjenja
Keywords:EU, energetika, obnovljivi viri energije, podnebne spremembe, varstvo okolja, informacije, rudarjenje podatkov, umetna inteligenca, ekonomska predvidevanja

Similar documents

Similar works from RUL:
  1. Forecasting electricity prices for Slovenian market with machine learning
  2. Determinants of price volatility of German intraday power market
  3. A comparison of advanced predictive models for the forecasting of electricity prices
  4. Hungarian power exchange (HUPX) spot price analysis
  5. Electricity price modelling and the role of new developments in electricity markets
Similar works from other Slovenian collections:
  1. PREDICTING OF MARGINAL ELECTRICITY PRICE ON THE SOUTHPOOL ENERGY EXCHANGE FOR THE DAY-AHEAD MARKET

Back