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Showing result 1 - 5 of 9 essays matching the above criteria.

  1. 1. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  3. 2. Improving term structure measurements by incorporating steps in a multiple yield curve framework

    University essay from Linköpings universitet/Produktionsekonomi

    Author : Gustav Villwock; Clara Rydholm; [2022]
    Keywords : Finance; Interest rates; Term structure measurement; Monte Carlo; Financial mathematics; Yield curve; Policy rates; Multiple yield curve framework; Stochastic programming; Risk factor modeling; Hedging; Performance attribution; Principle component analysis; GARCH; Maximum likelihood estimation; Copula;

    Abstract : By issuing interest rate derivative contracts, market makers such as large banks are exposed to undesired risk. There are several methods for banks to hedge themselves against this type of risk; one such method is the stochastic programming model developed by Blomvall and Hagenbjörk (2022). READ MORE

  4. 3. Bayesian Off-policy Sim-to-Real Transfer for Antenna Tilt Optimization

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

    Author : Albin Larsson Forsberg; [2021]
    Keywords : Simulation to Reality; Coverage and Capacity Optimization; Remote Electrical Tilt; Reinforcement Learning; Bayesian Optimization; Domain Randomization; Off- policy Estimation; Simulering till Verklighet; Täckning och Kapacitetsoptimering; Fjärrstyrning av Elektrisk Lutning; Förstärkningsinlärning; Bayesiansk Optimering; Domänrandomisering; Off- policyskattning;

    Abstract : Choosing the correct angle of electrical tilt in a radio base station is essential when optimizing for coverage and capacity. A reinforcement learning agent can be trained to make this choice. If the training of the agent in the real world is restricted or even impossible, alternative methods can be used. READ MORE

  5. 4. The Tax Effect on Capital Structure: An empirical investigation of tax shield utilization following the Tax Cuts and Jobs Act

    University essay from Lunds universitet/Företagsekonomiska institutionen

    Author : Adam Rodin; Patrik Magnusson; [2020]
    Keywords : Financial policy; difference-in-differences; capital structure; static trade-off theory; dynamic trade-off theory; Business and Economics;

    Abstract : Mixed support regarding firm capital structure reaction to the Tax Cut and Jobs Act is found. In the main difference-in-differences estimation, support is found for the predictions of trade-off theory after the inclusion of control variables aiming to capture shareholder distribution and capital structure optimization. READ MORE

  6. 5. Integrating Energy Demand and Ability to Pay in the Design of Decentralised Energy Supply : A Case Study in Rural Nepal

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Óscar Monés Pederzini; [2019]
    Keywords : ;

    Abstract : Access to electricity is essential for socioeconomic growth, especially in developing countries. However, over 1.1 billion people still do not have access to modern sources of energy. READ MORE