Indicator-Based Methodology for Assessing EV Charging Infrastructure Using Exploratory Data Analysis

Securing the information infrastructure for EV charging

We consider the functional and security requirements for the information exchanges in the infrastructure for EV charging being trialled in the Netherlands, which includes support for congestion management using the smart charging protocol OSCP. We note that current solutions do not provide true end-to-end security, even if all communication links are secured (for instance with TLS), as some dat...

Assessing GIS-based indicator methodology for analyzing the physical vulnerability of water and sanitation infrastructure

Congestion Games for V2G-Enabled EV Charging

A model of the problem of charging and discharging electrical vehicles as a congestion game is presented. A generalization of congestion games – feedback congestion games (FCG) – is introduced. The charging of gridintegrated vehicles, which can also discharge energy back to the grid, is a natural FCG application. FCGs are proven to be exact potential games and therefore converge to a pure-strat...

analysis of ruin probability for insurance companies using markov chain

در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...

Shapley value-based multi-objective data envelopment analysis application for assessing academic efficiency of university departments

This paper adopts a modified approach of data envelopment analysis (DEA) to measure the academic efficiency of university departments. In real-world case studies, conventional DEA models often identify too many decision-making units (DMUs) as efficient. This occurs when the number of DMUs under evaluation is not large enough compared to the total number of decision variables. To overcome this l...