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Showing result 1 - 5 of 239 essays matching the above criteria.

  1. 1. Does industry survey data improve GDP forecasting?

    University essay from Göteborgs universitet/Företagsekonomiska institutionen

    Author : Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
    Keywords : Bayesian; BVAR; Forecasting; GDP; survey data;

    Abstract : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. READ MORE

  2. 2. On The Evaluation of District Heating Load Predictions

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Herman Hansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE

  3. 3. Forecasting With Feature-Based Time Series Clustering

    University essay from Jönköping University/Tekniska Högskolan

    Author : Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Keywords : demand forecasting; time series prediction; time series clustering;

    Abstract : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. READ MORE

  4. 4. Sales forecasting for supply chain using Artificial Intelligence

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Vaibhav Mittal; [2023]
    Keywords : AI; sales forecasting; supply chain; predictive analytics; AI; försäljningsprognoser; supply chain; predictiv analys;

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

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

    Abstract : 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. READ MORE