Sökning: "time-series analyses"

Visar resultat 1 - 5 av 63 uppsatser innehållade orden time-series analyses.

  1. 1. Investigating the use of olfactory cues to re-direct African savannah elephant pathways. A potential conflict mitigation tool.

    Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Vera Ruijs; [2023-06-30]
    Nyckelord :African savannah elephants – conflict mitigation – elephant pathways – human-elephant conflict – olfactory cues;

    Sammanfattning : Human-elephant conflict resulting from, for example crop raiding behaviour, poses a significant threat to the conservation of African savannah elephants (Loxodonta africana). These conflicts can lead to fatalities in both humans and elephants. LÄS MER

  3. 2. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :David Ek; [2023-01-09]
    Nyckelord :;

    Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER

  4. 3. Hosting Capacity Methods Considering Complementarity between Solar and Wind Power : A Case Study on a Swedish Regional Grid

    Master-uppsats, Linköpings universitet/Energisystem

    Författare :Emma Andersson; Maja Abrahamsson Bolstad; [2023]
    Nyckelord :hosting capacity; hosting capacity methods; renewable power generation; power grid; power system analysis; complementarity; solar power; wind power; deterministic method; time series method;

    Sammanfattning : The demand for electrical power is growing due to factors such as population growth, urbanisation, and the transition from fossil fuels to renewable energy sources. To be able to keep up with the changes in electricity demand, the Swedish power grid must connect more renewable power generation, but also  increase its transmission capacity. LÄS MER

  5. 4. 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

  7. 5. Joinpoint regression analysis of the COVID-19 epidemic curve in Sweden : A descriptive trend analysis of the different regions in Sweden

    Kandidat-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Sebastian Bergwall; Duc Tran; [2023]
    Nyckelord :COVID-19; time series; descriptive analysis; grid search; joinpoint regression;

    Sammanfattning : Since the beginning of the global outbreak, the Swedish Public Health Agency has been closely monitoring the situation regarding COVID-19. Understanding and mapping the behaviour of the COVID-19 epidemic curve in Sweden is of great interest and conducting a descriptive analysis may yield additional important insights. LÄS MER