Sökning: "SARIMAX"

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

1. 1. Analysis of 2022 Demand Response Events in California: Baseline Modelling using the SARIMAX-GARCH Model

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Norbert Oros; [2023]
   Nyckelord :Demand response; Energy modelling; Electricity demand;

   Sammanfattning : This study investigates the use of a combination of SARIMAX and GARCH models to create baselines for electricity demand, generation, and interchange in order to analyze deviations during demand response events. Demand response plays and will continue to play a crucial role in the management of the electric grid during periods of extreme imbalances. LÄS MER

3. 2. Passenger flow prediction : Finding and developing a sustainable machine learning model for airport passenger flow prediction

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Matematiska institutionen

   Författare :Tomas Haglund; Oskar Jonsson; [2023]
   Nyckelord :Maskininlärning flyplats flyg flygindustrin passanger flow AI;

   Sammanfattning : There are many outdated routines and processes in today's aviation industry that major airlines lack the motivation to update. While this may not hold any direct security concerns, it creates bottlenecks at checks and high salary costs for otiose airport personnel. LÄS MER

4. 3. Forecasting Visitors in Smart Building Environments : Modeling and estimation of the number of guests using SARIMAX

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Nour Alhuda Albashir; Hamoud Danial; [2023]
   Nyckelord :SARIMAX; People Counter; Time Series;

   Sammanfattning : Time series modeling is a commonly used approach in exchange for studying and analyzing the data to support decision-making in companies based on historical data and thereby help them to save costs. This work introduces a forecasting framework that utilizes a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model to forecast the number of people expected to enter a building within a short period. LÄS MER

5. 4. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

   Master-uppsats, KTH/Matematisk statistik

   Författare :Peter Abrahamsson; Niklas Ahlqvist; [2022]
   Nyckelord :Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

   Sammanfattning : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. LÄS MER

7. 5. Electricity Prices Under Fire: An Empirical Assessment of Intermittent Renewable Energy Sources as a Remedy to High Gas Prices

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomi

   Författare :Alfred Eriksson; Yihan Xu; [2022]
   Nyckelord :electricity price; renewables; gas price; intermittency; merit-order effect;

   Sammanfattning : Europe has experienced a drastic increase in electricity prices since fall 2021, and it is largely acknowledged that this extreme increase is a consequence of the natural gas supply crisis in Europe. Meanwhile, intermittent renewable energy sources (IRES) are playing an ever more important role in the electricity generation of many European countries. LÄS MER