Sökning: "horizon problem"

Visar resultat 11 - 15 av 114 uppsatser innehållade orden horizon problem.

  1. 11. Evaluation of Machine Learning Methods for Time Series Forecasting on E-commerce Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Peter Abrahamsson; Niklas Ahlqvist; [2022]
    Nyckelord :Thesis; Time Series; Machine Learning; E-commerce; Demand Forecasting; Multiple Linear Regression; SARIMAX; XGBoost; LSTM; Model Evaluation; Examensarbete; tidsserier; maskininlärning; e-handel; efterfrågeprognoser; multipel linjär regression; SARIMAX; XGBoost; LSTM; modellutvärdering;

    Sammanfattning : Within demand forecasting, and specifically within the field of e-commerce, the provided data often contains erratic behaviours which are difficult to explain. This induces contradictions to the common assumptions within classical approaches for time series analysis. Yet, classical and naive approaches are still commonly used. LÄS MER

  3. 12. FLEX: Force Linear to Exponential : Improving Time Series Forecasting Models For Hydrological Level Using A Scalable Ensemble Machine Learning Approach

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

    Författare :Koen van den Brink; [2022]
    Nyckelord :machine learning; time-series forecasting; water level forecasting; time-series transformers; recurrent neural networks; maskininlärning; tidsserieprognoser; vattenståndsprognoser; tidsserietransformatorer; återkopplade neurala nätverk;

    Sammanfattning : Time-series forecasting is an area of machine learning that can be applied to many real-life problems. It is used in areas such as water level forecasting, which aims to help people evacuate on time for floods. LÄS MER

  4. 13. A Trust-Region Method for Multiple Shooting Optimal Control

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

    Författare :Shaohui Yang; [2022]
    Nyckelord :Trust Region Method; Optimal Control; Model Predictive Control; Sequential Quadratic Programming; Quadratic Programming; Inde_nte Hessian; Mobile Robots; Trust Region Method; Optimal Control; Model Predictive Control; Sekventiell kvadratisk programmering; kvadratisk programmering; obestämd hessian; mobila robotar;

    Sammanfattning : In recent years, mobile robots have gained tremendous attention from the entire society: the industry is aiming at selling more intelligent products while the academia is improving their performance from all perspectives. Real world examples include autnomous driving vehicles, multirotors, legged robots, etc. LÄS MER

  5. 14. Road De-icing under a Rolling Horizon

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Petr Binko; [2022]
    Nyckelord :;

    Sammanfattning : Road de-icing is part of the winter road maintenance sector, an area of interest to the Uppsala-based company BM System. In order to solve the road de-icing problem, BM System developed an optimisation engine which makes use of a local-search algorithm. LÄS MER

  7. 15. Robust Safe Control for Automated Driving Systems With Perception Uncertainties

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

    Författare :Yan Feng Yu; [2022]
    Nyckelord :Adaptive cruise control; Autonomous Driving System; Control barrier function; Cyber-physical systems; Measurement uncertainties; Model predictive control; Kalman filter; Adaptiv farthållare; Autonoma körsystem; Kontrollbarriärfunktion; Cyberfysiska system; Mätstörning; Modellförutsägande styrning;

    Sammanfattning : Autonomous Driving Systems (ADS), a subcategory of Cyber-Physical Systems (CPS) are becoming increasingly popular with ubiquitous deployment. They provide advanced operational functions for perception and control, but this also raises the question of their safety capability. LÄS MER