Sökning: "support vector machine regression"

Visar resultat 16 - 20 av 189 uppsatser innehållade orden support vector machine regression.

1. 16. Algorithmic Approaches to Output Prediction in a Virtual Power Plant

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

   Författare :Johannes Rosing; Oscar Ekhed; [2023]
   Nyckelord :Autoregressive Models; Deep Learning; Machine Learning; Power Output; Random Forest Regression; Strategic Recommendations; Support Vector Regression; Virtual Power Plant;

   Sammanfattning : Virtual Power Plants (VPPs) are an emerging form of technology that allows owners of electricity producing appliances, such as electric vehicles, to partake in a pool of producers of sustainable energy. The Swedish electricity grid owner Svenska Kraftnät hosts a platform where VPPs act as intermediaries between energy producing customers and third party buyers. LÄS MER

3. 17. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

   Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Humphry Takang Bate; [2023]
   Nyckelord :;

   Sammanfattning : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. LÄS MER

4. 18. Detecting Fraud in Affiliate Marketing: Comparative Analysis of Supervised Machine Learning Algorithms

   Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Oskar Ahlqvist; [2023]
   Nyckelord :Fraud detection; Machine learning; Random Forest; support vector machine; Logistic Regression; Classification models; Affiliate marketing;

   Sammanfattning : Affiliate marketing has become a rapidly growing part of the digital marketing sector. However, fraud in affiliate marketing raises a serious threat to the trust and financial stability of the involved parties. LÄS MER

5. 19. Analys av luftkvaliteten på Hornsgatan med hjälp av maskininlärning utifrån trafikflödesvariabler

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

   Författare :Ellinor Teurnberg; [2023]
   Nyckelord :Hornsgatan; Air Quality; Random Forest; Stockholm Stad; Support Vector Regression; Machine Learning; Hornsgatan; Luftkvalitet; Random Forest; Stockholm Stad; Support Vector Regression; Maskininlärning;

   Sammanfattning : Denna studie har syftet att undersöka sambandet mellan luftföroreningar och olika fordonsvariabler, såsom årsmodell, bränsletyp och fordonstyp, på Hornsgatan i Stockholm. Studien avser att besvara vilka faktorer som har störst inverkan på luftkvaliteten. LÄS MER

7. 20. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Magnus Gerde; [2023]
   Nyckelord :Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

   Sammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER