Sökning: "long term variability"

Visar resultat 1 - 5 av 90 uppsatser innehållade orden long term variability.

  1. 1. The Price of Power: A quantitative study of price elasticity of demand during high electricity prices in Southern Sweden

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Joel Berg; Lisa Johnsson; [2024-02-12]
    Nyckelord :;

    Sammanfattning : Unprecedentedly high electricity prices became a pressing issue for consumers in 2021-2022, causing political debate and shedding light on the hourly electricity prices. Out of the four Swedish electricity areas created to facilitate an effective electricity market, this thesis will focus on SE3 and SE4 in the South of Sweden, which experienced the highest prices in 2021-2022. LÄS MER

  3. 2. Drivers of sea level variability using neural networks

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Linn Carlstedt; [2023-05-10]
    Nyckelord :;

    Sammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER

  4. 3. Seasonal Variability of Ice Nucleating Particles (INP) in Southern Sweden

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

    Författare :Tamina Kabir; [2023-03-08]
    Nyckelord :;

    Sammanfattning : Cloud ice crystals are formed by ice-nucleating particles (INPs). The micro-physical properties of clouds, precipitation formation and the life cycle of clouds are strongly influenced by the presence or absence of ice. Therefore knowledge of atmospheric INP concentrations is crucial to improve weather forecasting and climate projections. LÄS MER

  5. 4. 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

  7. 5. Forecasting With Feature-Based Time Series Clustering

    Master-uppsats, Jönköping University/Tekniska Högskolan

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

    Sammanfattning : 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. LÄS MER