Sökning: "Tidsserieprognoser"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet Tidsserieprognoser.

  1. 1. Dataset characteristics effect on time series forecasting : comparison of statistical and deep learning models

    Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Adam Ahlman; Adam Taylor; [2023]
    Nyckelord :Time Series; Forecasting;

    Sammanfattning : Time series are points of data measured throughout time in equally spaced periods. They present characteristics such as level, noise, trend, seasonality, and outliers. Time series forecasting is the attempt to predict single or multiple future values. LÄS MER

  3. 2. FLEX: Force Linear to Exponential : Improving Time Series Forecasting Models For Hydrological Level Using A Scalable Ensemble Machine Learning Approach

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

    Författare :Koen van den Brink; [2022]
    Nyckelord :machine learning; time-series forecasting; water level forecasting; time-series transformers; recurrent neural networks; maskininlärning; tidsserieprognoser; vattenståndsprognoser; tidsserietransformatorer; återkopplade neurala nätverk;

    Sammanfattning : Time-series forecasting is an area of machine learning that can be applied to many real-life problems. It is used in areas such as water level forecasting, which aims to help people evacuate on time for floods. LÄS MER

  4. 3. Machine learning embedded automation in financial forecasting : A quantitative case study at Ericsson

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

    Författare :Isak Hassbring; [2022]
    Nyckelord :;

    Sammanfattning : In today’s increasingly data-driven world, time series forecasting is becoming a prevalent practice. Business executives can make better decisions aided by insights from financial forecasts. LÄS MER

  5. 4. Improving on Inventory Management Using Time Series Forecasting

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Edvin Arvidsson; [2021]
    Nyckelord :Time series forecasting; consumption rates; fbprophet; ARIMA; LSTM;

    Sammanfattning : In this master thesis project, four well known time series forecasting models areconstructed and tuned with the purpose of predicting the future consumption of glueon one of AkzoNobels customers production lines. The goal was to examine thepossibility of utilizing their vastly collected data with these models to improve on theinventory management for both AkzoNobel and their customers. LÄS MER

  7. 5. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

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

    Författare :Sonia-Florina Horchidan; [2020]
    Nyckelord :Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

    Sammanfattning : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. LÄS MER