Essays about: "variabel val"

Showing result 1 - 5 of 9 essays containing the words variabel val.

  1. 1. Battery Storage as Grid Reinforcement for Peak Power Demands

    University essay from Linköpings universitet/Energisystem

    Author : Jesper Hilleberg; [2023]
    Keywords : Battery Storage; Battery Energy Storage System; Grid Reinforcement; Flexibility; Lithium-ion battery; li-ion battery; Large Scale Grid Storage; BESS; Energy Storage; Peak Power Demand; Batterilagring; Batterilagringsystem; Nätförstärkning; Nätförstärkningsåtgärd; toppeffektlaster; Flexibilitet; Flexibilitetslösning; litiumjonbatteri; li-ion batteri; BESS; energilagring;

    Abstract : An increased amount of intermittent electricity production, more electric vehicles (EV), and an overall electrification of society may all cause a higher variability between the balance of supply and demand on the electric grid. Battery storage has been identified as a solution to the emerging problem asit can be charged during hours of low power demand and then discharged to help meet the power demand during peak loads. READ MORE

  3. 2. Imitation Learning on Branching Strategies for Branch and Bound Problems

    University essay from KTH/Matematisk statistik

    Author : Magnus Axén; [2023]
    Keywords : Graph Networks; Convolutions; MIP; Branch and Bound; Facility Location Problem; MDP; Imitation Learning; Graf nätverk; Faltning; Blandade heltaltsproblem; Branch and Bound; Facility Location Problem; Markov; Imitationsinlärning;

    Abstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE

  4. 3. Peeking Through the Leaves : Improving Default Estimation with Machine Learning : A transparent approach using tree-based models

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Elias Hadad; Angus Wigton; [2023]
    Keywords : Machine learning; Expected credit loss; Probability of default; ECL; PD; Risk Management; Credit Risk Management; Default Estimation; AI; Artificial intelligence; Fintech; Supervised learning; Decision tree; Random forest; XG boost; Transparency; Machine learning transparency;

    Abstract : In recent years the development and implementation of AI and machine learning models has increased dramatically. The availability of quality data paving the way for sophisticated AI models. Financial institutions uses many models in their daily operations. READ MORE

  5. 4. Geographically Weighted Regression based Investigation of Transport Policies for Increased Public Transport Ridership : A Case Study of Stockholm

    University essay from KTH/Transportplanering

    Author : Robert Günther Klar; [2021]
    Keywords : Public transport competitiveness; Geographically weighted regression; Public transport usage rate; Feature selection; Predictive modelling; Smart card data; ollektivtrafikens konkurrenskraft; Geografiskt viktad regression; Public transport usage rate; förutsägande modellering; variabel val; Smart card data;

    Abstract : Public transport plays a vital role in society as the economy, the degree of sustainability and the qualityof life of a city is directly affected by transportation. A shift in modal share towards public transport isassociated with many benefits such as increased air quality and improved space allocation within thecity. READ MORE

  6. 5. Gamma-ray tracking using graph neural networks

    University essay from KTH/Fysik

    Author : Mikael Andersson; [2021]
    Keywords : Physics; Nuclear Physics; Detectors; Tracking; Neural Networks; GNN; Gamma-ray; Fysik; Kärnfysik; Detektorer; Tracking; Neurala Nät; GNN; Gammastrålning;

    Abstract : While there are existing methods of gamma ray-track reconstruction in specialized detectors such as AGATA, including backtracking and clustering, it is naturally of interest to diversify the portfolio of available tools to provide us viable alternatives. In this study some possibilities found in the field of machine learning were investigated, more specifically within the field of graph neural networks. READ MORE