Sökning: "moving networks"

Visar resultat 1 - 5 av 171 uppsatser innehållade orden moving networks.

  1. 1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Klara Enerud; [2024]
    Nyckelord :time series forecasting; ARIMA; recurrent neural networks; LSTM; electricity forecasting; EED forecasting;

    Sammanfattning : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). LÄS MER

  3. 2. Autonomous shuttle buses : A multiple-case study evaluating to what extent autonomous shuttle buses contribute to achieve sustainable mobility in Lindholmen and Barkarbystaden

    Master-uppsats, Stockholms universitet/Kulturgeografiska institutionen

    Författare :Haddyjatou Njie; [2023]
    Nyckelord :Autonomous shuttle bus; Sustainable mobility; Spatial planning; Urban policy; Urban design; Barkarbystaden; Lindholmen; Multiple-case study;

    Sammanfattning : Travelling and moving within urban areas in a sustainable way acquires a transition toward sustainable commuting modes. An approach to reaching the transition is recognised as sustainable mobility. According to smart mobility research, autonomous shuttle buses could contribute to achieve sustainable mobility in urban areas. LÄS MER

  4. 3. Towards Circular Business Models in Swedish Rock and Soil Material Management : An Ecosystem-level Exploration

    Master-uppsats, Linköpings universitet/Projekt, innovationer och entreprenörskap

    Författare :Tova Andreasson; [2023]
    Nyckelord :;

    Sammanfattning : The rapid growth of Swedish metropolitan regions, has led to increased demand for rock and soil materials for building construction and infrastructural work. Sweden's rock and soil material management industry extracts over 100 million tons of aggregate per year, while only succeeding in recycling 1% of it. LÄS MER

  5. 4. 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

  7. 5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER