Essays about: "Network Horizon"

Showing result 6 - 10 of 31 essays containing the words Network Horizon.

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

    University essay from KTH/Matematisk statistik

    Author : Peter Abrahamsson; Niklas Ahlqvist; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 7. Predict Saving Behavior - Artificial Neural Network & Machine Learning

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : William Möllestam; [2022]
    Keywords : Saving Behavior; Artificial Neural Network; Machine Learning; XGBoost; SVM; Business and Economics;

    Abstract : This study aims to predict saving behavior using Artificial Neural Network (ANN), XGBoost, and Support Vector Machine (SVM) algorithms. First, 25 variables were chosen from the original 217 questions asked by the National Financial Capability Well-Being Survey (2018) NFCS, using exploratory data analysis. READ MORE

  4. 8. Heat Storage in Buildings : Achieving thermal peak shaving through indoor temperature flexibility

    University essay from Mälardalens universitet/Framtidens energi

    Author : Mathilda Cederblad; August Dahlberg; [2022]
    Keywords : Building thermal model; Short-term thermal storage; Grey-box model; District heating;

    Abstract : Buildings are currently controlled in a sub optimal way, using a WC controller that is dependent only on the external temperature. A rich amount of real-time data from installed sensors is available within the buildings and the network and can be used to counteract this. READ MORE

  5. 9. Comparing the Effects of Flexibility Options on Conventional and Low-temperature District Heating Networks : Studying the potential of the next generation of district energy systems

    University essay from KTH/Energiteknik

    Author : Mario Nithyanathan; [2022]
    Keywords : District heating DH ; low-temperature district heating LTDH ; 4GDH; Flexibility; Thermal energy storage TES ; Optimization; Modelling; Fjärrvärme; Låg-temperatur fjärrvärme; 4GDH; Flexibilitet; Termisk energilagring TES ; Optimering; Modellering;

    Abstract : District heating (DH) systems have been commonplace in Europe for over a century. These systems have undergone an evolution since their conceiving, and today we are at the precipice of the next major transition from the third-generation district heating system (3GDH) to the fourth generation (4GDH). READ MORE

  6. 10. Assessing Machine Learning Algorithms to Develop Station-based Forecasting Models for Public Transport : Case Study of Bus Network in Stockholm

    University essay from KTH/Transportplanering

    Author : Mahsa Movaghar; [2022]
    Keywords : Public transport; ridership; machine learning; Multiple Linear Regression; Decision Tree; Random Forest; Bayesian Ridge Regression; Neural Networks; Support Vector Machines; K-Nearest Neighbors;

    Abstract : Public transport is essential for both residents and city planners because of its environmentally and economically beneficial characteristics. During the past decade climatechange, coupled with fuel and energy crises have attracted significant attention toward public transportation. READ MORE