Sökning: "Seasonal Forecasting"

Visar resultat 11 - 15 av 63 uppsatser innehållade orden Seasonal Forecasting.

  1. 11. On Modelling Ancillary Services Markets: A Time Series Approach

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Erik Murray; [2022]
    Nyckelord :ARIMA; SARIMA; GARCH; load balancing; ancillary services; electrical grids; FCR-D; ARIMA; SARIMA; GARCH; lastbalans; stödtjänster; kraftnät; FCR-D 2;

    Sammanfattning : So-called ancillary services (AS) have always been critically important for the functioning of an electrical grid, and are becoming even more so with the advent of renewable energy sources. Ancillary services are traded on open markets, and trading on these markets is arguably even more difficult to model than on traditional markets. LÄS MER

  2. 12. The Future of Public Fast Charging : A forecasting of battery supported public fast charging based on a business model perspective

    Master-uppsats, Linköpings universitet/Projekt, innovationer och entreprenörskap

    Författare :Måns Jeppsson; Ivar Wester; [2022]
    Nyckelord :Public charging infrastructure; Electric Vehicles; EVs; EV charging; Business Model; Forecast; Scenarios;

    Sammanfattning : With the ever-pressing threat of a climate crisis, the EU has decided to become the first climate-neutral continent by 2050. This in turn will require the road transportation sector to make a transition from fossil dependent to fossil-free vehicles. Sweden has the objective to become net positive in GHG emissions by 2045. LÄS MER

  3. 13. Forecasting the outflow from non-maturity deposits using astressed seasonal autoregressive Monte Carlo simulation

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Carl Gyllberg; [2022]
    Nyckelord :;

    Sammanfattning : Non-maturity deposits (NMD) are saving accounts without a predefined maturity, whichmeans that depositors can withdraw or deposit any amount freely. On the other hand,banks have an option to freely alter deposit rates. LÄS MER

  4. 14. Application of cluster analysis to segment residential data with a focus on load profiles

    M1-uppsats, Karlstads universitet

    Författare :Philip Jones; [2022]
    Nyckelord :Load Profiles; Clustering; Machine Learning;

    Sammanfattning : This thesis explored different approaches of clustering residential data. The goal was to develop a model with applications in load forecasting contexts, specifically in situations where only a limited amount of residential data is available. LÄS MER

  5. 15. What would be the highestelectrical loads with -20°C inStockholm in 2022 ? : A study of the sensitivity of electrical loads to outdoor temperature in Stockholm region.

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Magali Mellon; [2022]
    Nyckelord :Data-driven approach; Electrical load forecasting; Temperature sensitivity; Linear Regression; Time series analysis; SARIMAX;

    Sammanfattning :  In the last 10 years, no significant increase in the peak electricity consumption of the region of Stockholm has been observed, despite new customers being connected to the grid. But, as urbanization continues and with electrification being a decisive step of decarbonization pathways, more growth is expected in the future. LÄS MER