Abstract This comprehensive review investigates the growing adoption of electric vehicles (EVs) as a practical solution for environmental concerns associated with fossil fuel usage in mobility. The increasing demand EVs underscores critical importance establishing efficient, fast-charging infrastructure, especially from standpoint electrical power grid. systematically examines planning strategies and considerations deploying vehicle fast charging stations. It emphasizes their unique dual...

Abstract There are wide applications of block-rate pricing schemes in many countries. However, there no significant studies that apply this common tariff for smart home energy management systems. In paper, a three-time-frame scheme has been proposed photovoltaic (PV)-powered grid-connected homes based on the well-known mixed-integer linear programming optimization technique. This paper provides three original and novel algorithms depend most residential specifically developing Three...

Hybrid PV/diesel generator/batteries systems are applied for many off-grid homes overall the world. Most of existing studies neglect effect loading level diesel generators on fuel consumption and/or system efficiency. In addition to, experience smart home load management isn't considered in such recent energy research. Therefore, a new offline isolated scheduling scheme is proposed this paper to suit developing countries characteristics. work, detailed models sources and appliances...

Abstract Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, challenge Photovoltaic (PV) uncertainty make it difficult to coordinate this vital solar energy real-time. This paper proposes a new, low-cost assessing photovoltaic generation smart home management systems. The proposed index, inspired by well-known clearness is adaptive deterministic indicator that only requires free Geographic Information...

The rapid growth of electric vehicles (EVs) demands a robust and efficient charging infrastructure. To address this, we propose particle swarm optimization algorithm designed for optimal placement sizing EV stations. This study hypothesizes that comprehensive consideration uncertainties in vehicle types, user behaviors, road dynamics, environmental impacts will enhance infrastructure effectiveness. Our method integrates data from networks, driver patterns, station owners, manufacturers to...

<title>Abstract</title> The dynamic integration of electric vehicles (EVs) necessitates efficient charging infrastructure. This study introduces an algorithm using particle swarm optimization for the optimal placement and sizing stations, addressing uncertainties in vehicle specifics, road user factors, station owner considerations, environmental impacts. Integrating a comprehensive dataset from networks, driver behaviors, owners, EV manufacturers, guides to accommodate individualized needs....

Abstract Solar-powered homes can be an optimal solution for the lack of continuous power sources problem in initial low-income communities. However, challenge PV uncertainty make it difficult to coordinate this vital solar energy real-time. This paper proposes a new, low-cost assessing photovoltaic generation smart home management systems. The proposed index, inspired by well-known clearness is adaptive deterministic indicator that only requires free Geographic Information System GIS models...