Sökning: "Forecasting process"

Visar resultat 1 - 5 av 228 uppsatser innehållade orden Forecasting process.

  1. 1. Dynamik och tillförlighet i finansiell prognostisering : En analys av djupinlärningsmodeller och deras reaktion på marknadsmanipulation

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Aya Zawahri; Nanci Ibrahim; [2024]
    Nyckelord :LOB; market manipulation; spoofing; layering; DeepLOB; DeepLOB-Attention; TCN; DeepLOB-seq2seq; DTNN; ITCH; parsing.; LOB; marknadsmanipulation; spoofing; layering; DeepLOB; DeepLOB-Attention; TCN; DeepLOB-seq2seq; DTNN; ITCH; parsing.;

    Sammanfattning : Under åren har intensiv forskning pågått för att förbättra maskininlärningsmodellers förmåga att förutse marknadsrörelser. Trots detta har det, under finanshistorien, inträffat flera händelser, såsom "Flash-crash", som har påverkat marknaden och haft dramatiska konsekvenser för prisrörelserna. LÄS MER

  3. 2. 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

  4. 3. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

    Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Författare :Alireza Momtaz; Mohammad Befkin; [2024]
    Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

    Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

  5. 4. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Abid Ali; Arosha Ratnayake; [2023-07-03]
    Nyckelord :Demand forecasting; Spare parts; Automobile; End-of-Production EOP ; PRISMA; AHP; MCDM;

    Sammanfattning : Demand forecasting of spare parts plays a crucial role in automobile industry where it generally requires a significant attention in controlling inventory. It is possible to maintain an optimal stock level when there is a continues supply at the Original Equipment Manufacturers (OEMs). LÄS MER

  7. 5. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
    Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

    Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER