Sökning: "scenarier"

Visar resultat 16 - 20 av 1055 uppsatser innehållade ordet scenarier.

  1. 16. Evaluating Brain-Inspired Machine Learning Models for Time Series Forecasting: A Comparative Study on Dynamical Memory in Reservoir Computing and Neural Networks

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

    Författare :Eddie Nevander Hellström; Johan Slettengren; [2023]
    Nyckelord :;

    Sammanfattning : Brain-inspired computing is a promising research field, with potential to encouragebreakthroughs within machine learning and enable us to solve complex problems in a moreefficient way. This study aims to compare the performance of brain-like machine learningalgorithms for time series forecasting. LÄS MER

  3. 17. Optimization of an energy system in rural Thailand

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Axel Lund; Mattias Malmberg; [2023]
    Nyckelord :Rural energy; Thailand; Microgrid; Biomass; Solar PV; Sustainable development goals; Minor field study; stand-alone; HOMER pro; Landsbyggdens energi; Thailand; Microgrid; Biomassa; Solceller; Hållbara utvecklingsmål; Minor field study; fristående energi system; HOMER pro;

    Sammanfattning : By 2020, Thailand ensured 100% electricity access to its 72 million inhabitants. This was partly done by promoting off-grid energy systems in rural areas instead of using costly grid extensions. LÄS MER

  4. 18. Low-latency transport protocols inactor systems : Performance evaluation of QUIC in Kompact

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

    Författare :Jódís Gunnlaugsdóttir; [2023]
    Nyckelord :Kompact; Component-Actor hybrid framework; Transmission Control Protocol; User Datagram Protocol; Aeron; Quic;

    Sammanfattning : Developers widely use actor frameworks to build highly distributed systems. However, modern actor frameworks are limited in their network implementations, with Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) being the main protocols used for network communication. LÄS MER

  5. 19. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Enzo Alexander Cording; [2023]
    Nyckelord :Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

    Sammanfattning : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. LÄS MER

  7. 20. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Författare :Chenzhou Huang; [2023]
    Nyckelord :Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER