This study presents a multi-objective optimization approach for designing hybrid renewable
energy systems for electric vehicle (EV) charging stations that considers both economic and …

Improving the quality of products remains a challenge. This is due to the turbulent
environment and the dynamics of changing customer requirements. Hence, the key action is …

This study optimizes and evaluates a Photovoltaic-Wind-Battery/Electric Vehicle Charging
Station (PVWB/EVCS) system using four Multi-Objective Optimization (MOO) techniques …

In recent years, the share of PV (photovoltaic) panels in the generation of renewable energy
has been dynamically growing. During this time, the Polish government introduced …

In this paper, a multi-objective allocation and scheduling of wind turbines and electric
vehicle parking lots are performed in an IEEE 33-bus radial distribution network to reach the …

Today, increasing electric vehicle (EV) popularity thanks to the incentives leads to grow the
number of EV charging stations (EVCS). Meeting the increasing demand using fossil fuels …

This research work aims to conduct a comprehensive analysis of the optimization of Electric
Vehicle Charging Stations (EVCS) by integrating photovoltaic (PV) and wind energy …

Multi-Criteria Decision-Making (MCDM) methods are great tools for solving complex
problems with a huge number of alternatives, conflicting criteria and objectives. The main …

Blockchain is a growing list of records, called blocks, that are securely linked together using
cryptography. Each block contains a cryptographic hash (Bybit Learn, nd) of the previous …

Pinawa is recognized as an award-winning, active town in Manitoba with many breathtaking
nature experiences. However, further green and active transportation (AT) opportunities …