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Visar resultat 1 - 5 av 21 uppsatser som matchar ovanstående sökkriterier.

  1. 1. The Impact of an Offshore Wind Farm on a Power Grid

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Arvid Söderberg; Tim Possekel; [2023]
    Nyckelord :;

    Sammanfattning : Due to increasing power demands and growing importance of sustainability, more and morewind power is being built and connected to existing power systems. While wind power isboth renewable and cost-effective, it is important to note that due to its variable nature, itcan negatively impact the stability of a power system. LÄS MER

  3. 2. A comparative study of applicationprogramming interface performancein .NET Framework and .NET Core

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Simon Binyamin; [2023]
    Nyckelord :;

    Sammanfattning : Many technologies could be applied during the creation of Web applications;thus, developers are left with multiple choices when picking building blocksfor their desired solutions. Often these decisions come down to theresource (such as libraries and online material) availability, community,previous experience, and performance. LÄS MER

  4. 3. Enabling robot grasping teaching using mixed reality

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Pablo Beigveder Durante; Marcos Fernández Nadales; [2022]
    Nyckelord :Grasping; Mixed reality; Augmented reality; Robot; Unity; Programming;

    Sammanfattning : The exploration of realistic grasping with industrial robots could open gates in the way of understanding the industry, giving robots the ability to adapt to different situations without reprogramming and therefore, become more flexible tools. In order to facilitate this apparently complex task it is important to implement new tools for robot programming. LÄS MER

  5. 4. Sensor modelling for anomaly detection in time series data

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :ZAHRA JALIL POUR; [2022]
    Nyckelord :anomaly detection; LSTM; Autoencoder; multivariate time series data;

    Sammanfattning : Mechanical devices in industriy are equipped with numerous sensors to capture thehealth state of the machines. The reliability of the machine’s health system depends on thequality of sensor data. In order to predict the health state of sensors, abnormal behaviourof sensors must be detected to avoid unnecessary cost. LÄS MER

  7. 5. Forecasting Electricity Prices for Intraday Markets with Machine Learning : An exploratory comparison of the state of the art

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Panagiotis-Christos Kotsias; [2022]
    Nyckelord :Electricity Trading; Intraday Market; Price Forecasting; Machine Learning; Elhandel; Intradagsmarknad; Prisprognoser; Maskininlärning;

    Sammanfattning : Electricity needs to be consumed when it is produced, making sure that supply closely meets demand at all times. To account for the rapidly changing operational status and the need for increasing the flexibility of power systems, financial instruments have been put in place creating markets where electricity is traded as a commodity across different time frames; from months or days to minutes before, or even after, planned delivery. LÄS MER