Essays about: "Driver model"

Showing result 16 - 20 of 453 essays containing the words Driver model.

  1. 16. Estimating eco-friendly driving behavior in various traffic situations, using machine learning

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Ludvig Fors; [2023]
    Keywords : Machine learning; transformers; neural networks; casual inference; K-Means; driver behavior; fuel consumption;

    Abstract : This thesis investigates how various driver signals, signals that a truck driver can interact with, influences fuel consumption and what are the optimal values of these signals in various traffic conditions. More specifically, the objective is to estimate good driver behavior in various traffic conditions and compare bad driver behavior in similar situations to see how performing a specific driver action, changing a driver signal from the bad driver value to the corresponding good driver value impacts the fuel consumption. READ MORE

  3. 17. The pricing accuracy of the unbiased RIV model

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Jonny Jin; Daniel Klingberg; [2023]
    Keywords : Pricing accuracy; Residual income valuation; Unbiased accounting; Accounting measurement bias; Conservative accounting;

    Abstract : This paper aims to investigate whether the pricing accuracy of the RIV model is improved with unbiased accounting. The introduction of the Feltham-Ohlson model has left researchers with an eagerness to propose a RIV model with high pricing accuracy. READ MORE

  4. 18. Harnessing Hydrogen and Batteries: Hybrid Energy Storage System for Versatile and Profitable Renewable Power Production

    University essay from Lunds universitet/Industriell elektroteknik och automation

    Author : Nora Jaredson Lilja; Hugo Björling; [2023]
    Keywords : Energy storage; Hydrogen energy storage; Battery storage; Hybrid storage; Wind power; Solar power; Combined wind and solar power production; Variable renewable energy sources; Power management; Energy storage operational strategy; Plannable renewable power production; Technology and Engineering;

    Abstract : This thesis explores the integration of hydrogen and battery energy storage systems as a means to enhance the management of wind and solar power in the pursuit of a greener grid. The objective of the study is to identify the potential benefits and challenges associated with hybrid energy storage systems (HESS) and their role in renewable energy integration. READ MORE

  5. 19. Counterfactual and Causal Analysis for AI-based Modulation and Coding Scheme Selection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kun Hao; [2023]
    Keywords : Explainable Artificial Intelligence; Counterfactual; Causal Analysis; Shapley Additive Explanations; Modulation and Coding Scheme; Förklarlig artificiell intelligens; kontrafaktisk analys; orsaksanalys; Shapley tillsatsförklaringar; modulerings och kodningsschema;

    Abstract : Artificial Intelligence (AI) has emerged as a transformative force in wireless communications, driving innovation to address the complex challenges faced by communication systems. In this context, the optimization of limited radio resources plays a crucial role, and one important aspect is the Modulation and Coding Scheme (MCS) selection. READ MORE

  6. 20. The granddaddy of underreaction events: Post-earnings announcement drift and information noisiness on the Swedish market

    University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Author : Sofia Berlin; Gustav Sandelin; [2023]
    Keywords : Post-earnings announcement drift; market efficiency; earnings surprises; information noisiness; stock price synchronicity;

    Abstract : This paper aims to answer the question of whether there is an existence of post-earnings announcement drift on the Swedish stock market and to what extent it can be explained by information noisiness. A sample of publicly listed firms on the Swedish stock market from 2002 to 2019 is used and the research design includes four different approaches to estimating earnings surprises which is a crucial step in investigating PEAD. READ MORE