Blar i forfatter Artikler, rapporter og annet (datateknologi og beregningsorienterte ingeniørfag) "Dadman, Shayan"

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    • E-Mobility and Batteries—A Business Case for Flexibility in the Arctic Region 

      Bremdal, Bernt Arild; Ilieva, Iliana; Tangrand, Kristoffer Meyer; Dadman, Shayan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-28)
      This paper provides a method for determining the economic incentives and limitations for a battery used for peak clipping, with the goal of finding an optimal mix between the battery’s power density and energy density. A ratio called the R-factor has been introduced, which helps determine the energy demand to curb the peak. The paper’s results embrace different investment scenarios showing what ...

    • Multi-agent Reinforcement Learning for Structured Symbolic Music Generation 

      Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-07-12)
      Generating structured music using deep learning methods with symbolic representation is challenging due to the complex relationships between musical elements that define a musical composition. Symbolic representation of music, such as MIDI or sheet music, can help overcome some of these challenges by encoding the music in a format that allows manipulation and analysis. However, the symbolic ...

    • Predicting Peak Prices in the Current Day-Ahead Market 

      Bremdal, Bernt Arild; Dadman, Shayan (Chapter; Bokkapittel, 2023-06)
      The work presented has studied price developments in the day-ahead market. The statistical properties inherent in the time series constituting the day-to-day prices have been investigated. It is shown that these properties are radically different in 2022 than former years and resemble more chance like properties for which make predicting future peak prices especially hard. To overcome this, a space ...

    • Toward Interactive Music Generation: A Position Paper 

      Dadman, Shayan; Bremdal, Bernt Arild; Bang, Børre; Dalmo, Rune (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-30)
      Music generation using deep learning has received considerable attention in recent years. Researchers have developed various generative models capable of imitating musical conventions, comprehending the musical corpora, and generating new samples based on the learning outcome. Although the samples generated by these models are persuasive, they often lack musical structure and creativity. For instance, ...

    • Using Light Weight Electric Vehicles for V2G services in the Arctic 

      Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-06)
      The proposed paper documents research carried out in the Smart Charge project. This project has investigated the use of electric snowmobiles for V2G purposes. Electric snowmobiles and ATVs have been introduced in remote areas in the Arctic to replace the fossil fuelled vehicles that dominate today. Electric versions of these can add extra loads to the local electricity grid. But they can also be ...