Sökning: "Exponential Smoothing"

Visar resultat 11 - 15 av 35 uppsatser innehållade orden Exponential Smoothing.

  1. 11. Comparing forecast combinations to traditional time series forcasting models : An application into Swedish public opinion

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Hanna Hamberg; [2022]
    Nyckelord :statistics; forecast; election; polls; ARIMA; exponential smoothing; forecast combinations;

    Sammanfattning : The objective of this paper is to retrospectively evaluate forecast models for polling data, to be used prospectively for the Swedish general election in 2022. One of the simplest ways of forecasting an election result is through opinion polls, and using the latest observation as the forecast. LÄS MER

  3. 12. Exploring Demand Forecasting Strategy in Young Fast-Growing Companies : A Case Study of Nudient

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

    Författare :Marcus Andersson; [2022]
    Nyckelord :Demand forecasting; methods; strategy; quantitative forecasts; qualitative forecasts; Efterfrågeprognoser; metoder; strategier; kvantitativa prognoser; kvalitativa prognoser;

    Sammanfattning : The purpose of this study is to provide the case company Nudient with a recommendation of what demand forecasting methods and strategies they should use. To be able to make a tailored recommendation, a literature study is conducted to explore what demand forecasting methods are commonly used on applications similar to the case being studied. LÄS MER

  4. 13. Predictive vertical CPU autoscaling in Kubernetes based on time-series forecasting with Holt-Winters exponential smoothing and long short-term memory

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

    Författare :Thomas Wang; [2021]
    Nyckelord :Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resource Provisioning; Autoscaling; Predictive scaling; CPU Usage; Seasonality; Exponential Smoothing; Long short-term memory; Time-series Analysis; Kubernetes; Docker; Container; Cloud Native; Cloud Computing; Resursförsörjning; Autoskalning; prediktiv skalning; CPU Användning; Säsongsmässighet; Exponentiell utjämning; långt korttidsminne; tidsserieanalys;

    Sammanfattning : Private and public clouds require users to specify requests for resources such as CPU and memory (RAM) to be provisioned for their applications. The values of these requests do not necessarily relate to the application’s run-time requirements, but only help the cloud infrastructure resource manager to map requested virtual resources to physical resources. LÄS MER

  5. 14. Forecasting with deep temporal hierarchies : A novel way for forecasting with temporal hierarchies based on deep learning models

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Filotas Theodosiou; [2021]
    Nyckelord :Forecasting; temporal hierarchies; forecast reconciliation; hierarchical forecasting; machine learning; deep learning;

    Sammanfattning : Temporal hierarchies are being increasingly used for forecasting purposes over the past years. They have been shown to produce accurate and coherent forecasts which are beneficial for enterprises. Reconciling forecasts of different aggregation levels to achieve coherence, supports aligned decisions between different organizational levels. LÄS MER

  7. 15. Comparison of Forecasting Models Used by The Swedish Social Insurance Agency.

    Magister-uppsats, Mälardalens högskola/Akademin för utbildning, kultur och kommunikation

    Författare :Ryan Rasoul; [2020]
    Nyckelord :Financial engineering; Forecast; Time series; ARIMA; SES; Analysis and forecasting;

    Sammanfattning : We will compare two different forecasting models with the forecasting model that was used in March 2014 by The Swedish Social Insurance Agency ("Försäkringskassan" in Swedish or "FK") in this degree project. The models are used for forecasting the number of cases. LÄS MER