Sökning: "impor"

Visar resultat 1 - 5 av 43 uppsatser innehållade ordet impor.

  1. 1. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Adam Törnqvist; Vincent Edberg; [2024]
    Nyckelord :Offshore wind power; Spatial Multi-criteria Analysis; Renewable energy; Suit-ability map; Geographical Information System; Havsbaserad vindkraft; Spatial multikriterieanalys; Förnybar energi; Lämp-lighetskarta; Geografiskt informationssystem;

    Sammanfattning : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). LÄS MER

  3. 2. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Simon Althoff; [2023]
    Nyckelord :wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

    Sammanfattning : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. LÄS MER

  4. 3. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

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

    Författare :Amanda Rudälv; [2023]
    Nyckelord :Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

    Sammanfattning : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. LÄS MER

  5. 4. ASSESMENT OF WIND POWER FORECASTING ERROR FOR GOTLAND

    Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

    Författare :Simon Rengmyr; [2022]
    Nyckelord :Wind power forecasting; Machine learning; Numerical weather prediction;

    Sammanfattning : When the wind blows and wind turbine generators harvests the kinetic energy and trans- forms it to electrical power, there is a need for predicting how much power that will be dispatched from the turbines. Even the most perfect computer model with high computa- tional power could not model the beauty of the forces of nature and we must accept some degree of forecasting error in the predicted power output due to the inherently stochastic patterns in the atmosphere. LÄS MER

  7. 5. Scanning and Host Fingerprinting Methods for Command and Control Server Detection

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Yuki Nakamura; Björn Åström; [2021]
    Nyckelord :command and control; C2; CnC; botnet; scanning; probing;

    Sammanfattning : Background. Detecting malware command and control infrastructure has impor-tant applications for protecting against attacks. Much research has focused on thisproblem, but a majority of this research has used traffic monitoring methods fordetection. Objectives. LÄS MER