The use of computational intelligence techniques for mid-term electricity price forecasting : master's thesis

Fonseca, Miguel Fernandes da (author), Dias, José Miguel (mentor), Popovič, Aleš (comentor)

• Language: English
• Keywords: energetics, artificial intelligence, pricing, price, economic forecasting, research, analysis
• 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. F. Da Fonseca]
• Year: 2021
• Number of pages: V, 69, 15 str.
• PID: 20.500.12556/RUL-129408
• UDC: 659.2:004
• COBISS.SI-ID: 62568195
• Publication date in RUL: 02.09.2021

FONSECA, Miguel Fernandes da, 2021, The use of computational intelligence techniques for mid-term electricity price forecasting : master’s thesis [online]. Master’s thesis. Ljubljana : M. F. Da Fonseca. [Accessed 25 March 2025]. Retrieved from: http://www.cek.ef.uni-lj.si/magister/da_fonseca4194-B.pdf

Secondary language

• Language: Slovenian
• Title: Uporaba tehnik računalniške inteligence za srednjeročno napovedovanje cen električne energije
• Keywords: energetika, umetna inteligenca, oblikovanje cene, cena, ekonomska predvidevanja, raziskave, analiza