Sökning: "Seasonal Forecasting"

Visar resultat 16 - 20 av 63 uppsatser innehållade orden Seasonal Forecasting.

  1. 16. A study of forecasts in Financial Time Series using Machine Learning methods

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Mowniesh Asokan; [2022]
    Nyckelord :Timeseries; Financial Timeseries; Forecasting; LSTM; ARIMA; Hybrid ARIMA-GARCH;

    Sammanfattning : Forecasting financial time series is one of the most challenging problems in economics and business. Markets are highly complex due to non-linear factors in data and uncertainty. It moves up and down without any pattern. LÄS MER

  3. 17. Applying Human-scale Understanding to Sensor-based Data : Generating Passive Feedback to Understand Urban Space Use

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Byggteknik och byggd miljö

    Författare :Adam Eriksson; Hugo Uppling; [2021]
    Nyckelord :movement data modelling; urban space use; forecasting; time series; space syntax; Prophet; citizen passive feedback;

    Sammanfattning : The aim of this thesis is to investigate how parametrization of large-scale person movement data can contribute to describing the use of urban space. Given anonymous coordinate and timestamp data from a sensor observing an open-air mall, movement-based parameters are selected according to public life studies, behavioral mapping, and space syntax tools. LÄS MER

  4. 18. Analysis of Forecasts for District Heat Production using Different Models for Seasonal Partitions

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Leo Einarsson; [2021]
    Nyckelord :District heating; heat production; energy; time series; statistical bootstrap; prediction; regression; model based on season; Mathematics and Statistics;

    Sammanfattning : District heating is a common means of space and hot water heating in Sweden. However, the demand for heating is not the same at all times. On a yearly basis more heat is required during winter, while next to none is needed in summer. LÄS MER

  5. 19. Investigating Demand Forecasting Strategy and Information Exchange : A case study at a Swedish wholesaler

    Kandidat-uppsats, Jönköping University/JTH, Logistik och verksamhetsledning

    Författare :Christian Karlsson; Imadeddin Abdul aziz; [2021]
    Nyckelord :Forecast model; forecast process; seasonality; information sharing; partnership; Holt-Winters model;

    Sammanfattning : Purpose – Forecasting is a firm's ability to anticipate or predict the future demand givenon a set of assumptions. For a company to implement an appropriate forecast model whichcan make accurate assumptions, the model needs to be aligned with the company's businesssituation and enhanced through supply chain relationships. LÄS MER

  7. 20. Time-series Generative Adversarial Networks for Telecommunications Data Augmentation

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

    Författare :Hamid Dimyati; [2021]
    Nyckelord :Telecommunication; Time- series Forecasting; Data Augmentation; Generative Adversarial Networks; Telekommunikation; Prognoser för Tidsserier; Dataförstoring; Generative Adversarial Networks;

    Sammanfattning : Time- series Generative Adversarial Networks (TimeGAN) is proposed to overcome the GAN model’s insufficiency in producing synthetic samples that inherit the predictive ability of the original timeseries data. TimeGAN combines the unsupervised adversarial loss in the GAN framework with a supervised loss adopted from an autoregressive model. LÄS MER