Sökning: "Multi-Step Forecasting"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Multi-Step Forecasting.

  1. 1. Time Series Forecasting on Database Storage

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Pranav Patel; [2024]
    Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

    Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

  3. 2. 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

  4. 3. Air quality prediction in metropolitan areas using deep learning methods

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Augustin Ionut Ionascu; [2023]
    Nyckelord :air quality; forecasting; time-series; univariate; multivariate; multi-step; Attention; Transformer;

    Sammanfattning : The rapid growth of the world's urban population shows that people are increasingly moving to cities. In recent decades, the frequent occurrence of smog caused by increasing industrialization has brought environmental pollution to record highs. LÄS MER

  5. 4. Demand Forecasting of Outbound Logistics Using Neural Networks

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Enobong Paul Otuodung; Gulten Gorhan; [2023]
    Nyckelord :Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

    Sammanfattning : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. LÄS MER

  7. 5. Post-Correction of time series forecasts

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Arunas Kalinauskas; Dennis Slepov; [2023]
    Nyckelord :time series forecasting;

    Sammanfattning : Time series forecasting is an important problem with various applications in different domains. Improving forecast performance has been the center of investigation in the last decades. Several pieces of research show that old statistical methods, such as ARIMA, are still state-of-the-art in many domains and applications. LÄS MER