Sökning: "tidsserieprediktion"

Visar resultat 1 - 5 av 10 uppsatser innehållade ordet tidsserieprediktion.

1. 1. 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

3. 2. PREDICTING TRADED VOLUMES OF RENEWABLE ENERGY CERTIFICATES : A comparison of different time series forecasting methods

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Stina Magnusson; Ebba Sköld; [2022]
   Nyckelord :Sales Forecasting; SARIMA; Machine Learning Models; Neural Networks; Renewable Energy Certificates;

   Sammanfattning : Predicting sales is an important step for many business processes. Several forecasting methods have been applied to uncountable different problems, however with no present research found in the area of renewable energy certificates. LÄS MER

4. 3. Modeling of the primary sludge thickening process at a wastewater treatment plant with the use of machine learning

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

   Författare :Eric Bröndum; [2022]
   Nyckelord :Machine Learning; Stockholms Vatten och Avfall; Primary Sludge; Dewatering; Wastewater Treatment Plant; Simulation; time series prediction; Maskininlärning; Stockholms Vatten och Avfall; Primärslam; Förtjockning; Avloppsreningsverk; Simulering; Tidsserieprediktion;

   Sammanfattning : This thesis focuses on modeling the primary sludge in the thickening process at Henrikdals wastewater treatment plant in Stockholm, Sweden. The thickening process is one of the core processes at the wastewater treatment plant, where the goal is to thicken a residual product called primary sludge. LÄS MER

5. 4. Multivariate Time Series Forecasting in MAX IV Electron Accelerator using Predictive Maintenance

   M1-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Författare :Henrik Heinze; Olof Persson; [2022]
   Nyckelord :;

   Sammanfattning : There are different approaches to take when it comes to maintenance of certaine quipment in environments such as production factories, manufacturing facilities and research laboratories. No type of equipment that falls in any of these categories are perfect and lack the requirement of preservation in some form. LÄS MER

7. 5. 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