Sökning: "Edge Prediction"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden Edge Prediction.

  1. 1. Constructing and representing a knowledge graph(KG) for Positive Energy Districts (PEDs)

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Mahtab Davari; [2023]
    Nyckelord :Knowledge graph; Positive Energy Districts PEDs ; longest path; Questions and Answers; Community Detection; Node Embedding; t-SNE plots; Edge Prediction;

    Sammanfattning : In recent years, knowledge graphs(KGs) have become essential tools for visualizing concepts and retrieving contextual information. However, constructing KGs for new and specialized domains like Positive Energy Districts (PEDs) presents unique challenges, particularly when dealing with unstructured texts and ambiguous concepts from academic articles. LÄS MER

  3. 2. A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Daniel Arredondo; [2023]
    Nyckelord :Hybrid model; Volatility model; Machine learning model; Price spike prediction; Energy trading; Time series forecasting; Ancillary service market; Business and Economics;

    Sammanfattning : This study aims to forecast the Swedish FCR-D Down A2 market prices through a hybrid model combining a volatility model and a machine learning approach, and compares its performance with a standalone machine learning model. We further examine the impact of different lag orders (1-Hr vs. 24-Hr) on volatility estimates and forecast performance. LÄS MER

  4. 3. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs

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

    Författare :Gianluca Ruberto; [2023]
    Nyckelord :Knowledge Graphs; Link Prediction; Machine Learning; Microservice Tracing; Kunskapsdiagram; länkförutsägelse; maskininlärning; mikroservicespårning;

    Sammanfattning : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. LÄS MER

  5. 4. AI Enabled Cloud RAN Test Automation : Automatic Test Case Prediction Using Natural Language Processing and Machine Learning Techniques

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

    Författare :Jeet Santosh Nimbhorkar; [2023]
    Nyckelord :Test Automation; Natural Language Processing; Machine Learning; Keyword Extraction; Prediction; Testautomatisering; Naturlig Språkbehandling; Maskininlärning; Nyckelord Extraktion; Förutsägelse;

    Sammanfattning : The Cloud Radio Access Network (RAN) is a technology used in the telecommunications industry. It provides a flexible, scalable, and costeffective solution for managing and delivering seamless wireless network services. LÄS MER

  7. 5. Dynamic Control, Modeling and Sizing of Hybrid Power Plants : Investigating the optimum usage of energy storage for Fortum’s hydropower

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

    Författare :Klas Lindgren; [2023]
    Nyckelord :Hydropower Plants; Energy Storage Systems; Hybrid Units; Frequency Regulation; Modeling; XGBoost Regression; Vattenkraftverk; Energilagringsystem; Hybridkraftverk; Frekvensreglering; Modellering; XGBoost Regression;

    Sammanfattning : The rapidly evolving Nordic Power System demands enhanced flexibility and robustness in electricity production. The traditional role of hydropower plants in regulating the grid frequency has been challenged by new criteria for dynamic stability, which some units struggle to meet due to their relatively poor dynamic performance. LÄS MER