Sökning: "forecast error"
Visar resultat 1 - 5 av 196 uppsatser innehållade orden forecast error.
1. Demand Forecasting of Automobile Spare Parts after the End-of-Production - A review of demand forecasting models
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : 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
2. Sales forecasting for supply chain using Artificial Intelligence
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Supply chain management and logistics are two sectors currently experiencing a transformation thanks to the advent of AI(Artificial Intelligence) technologies. Leveraging predictive analytics powered by AI presents businesses with novel opportunities to streamline their operations effectively. LÄS MER
3. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : 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
4. Does the Level of Swedish Economic Policy Uncertainty Help Forecast Excess Returns on the Swedish Stock Market?
Master-uppsats, Uppsala universitet/Företagsekonomiska institutionenSammanfattning : This thesis examines whether the level of Swedish economic policy uncertainty (EPU) can predict excess returns on the Swedish stock market. We run out-of-sample forecasting using an EPU-based predictive model constructed with the official Swedish EPU index developed by Armelius et al. (2017). LÄS MER
5. On modelling OMXS30 stocks - comparison between ARMA models and neural networks
Master-uppsats, Uppsala universitet/Matematiska institutionenSammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER