Meta-heuristics optimization in electric vehicles-an extensive review
AKVK Reddy, KVL Narayana - Renewable and Sustainable Energy …, 2022 - Elsevier
Optimization through meta-heuristics in electric vehicular (EV) transport has emerged as the
key to improve the existing technologies and pave way for their mass deployment and …
key to improve the existing technologies and pave way for their mass deployment and …
[HTML][HTML] Aggregated demand-side energy flexibility: A comprehensive review on characterization, forecasting and market prospects
Existing grids have been designed with traditional large centralized generation in mind;
however, with the ever-increasing utilization of renewable distributed energy resources, the …
however, with the ever-increasing utilization of renewable distributed energy resources, the …
Optimal coordinated control of multi-renewable-to-hydrogen production system for hydrogen fueling stations
Under the pressure of climate change, the demands for alternative green hydrogen (H 2)
production methods have been on the rise to conform to the global trend of transition to a H …
production methods have been on the rise to conform to the global trend of transition to a H …
Global challenges of electric vehicle charging systems and its future prospects: A review
Global primary energy supply mainly comes from fossil fuels that are limited in supply and
have negative impacts on the environment. A large number of conventional vehicles …
have negative impacts on the environment. A large number of conventional vehicles …
Deep reinforcement learning-based charging pricing for autonomous mobility-on-demand system
The autonomous mobility-on-demand (AMoD) system plays an important role in the urban
transportation system. The charging behavior of AMoD fleet becomes a critical link between …
transportation system. The charging behavior of AMoD fleet becomes a critical link between …
Energy management system for hybrid renewable energy-based electric vehicle charging station
This paper introduces an energy management algorithm for a hybrid solar and biogas-
based electric vehicle charging station (EVCS) that considers techno-economic and …
based electric vehicle charging station (EVCS) that considers techno-economic and …
Energy-transport scheduling for green vehicles in seaport areas: A review on operation models
Internal combustion engine vehicles, although conventionally playing essential roles in
seaport logistic operation, are major sources of carbon emissions. To guarantee the “green …
seaport logistic operation, are major sources of carbon emissions. To guarantee the “green …
Electric vehicle scheduling: State of the art, critical challenges, and future research opportunities
Electric vehicles can be perceived as a means to achieve carbon reduction, energy
efficiency, and sustainable development of the transportation industry. Electric vehicle sales …
efficiency, and sustainable development of the transportation industry. Electric vehicle sales …
[HTML][HTML] A hybrid decentralized stochastic-robust model for optimal coordination of electric vehicle aggregator and energy hub entities
Electric vehicle aggregator (EVAGG) is an independent entity that facilitates exchanging
electricity between electric vehicles (EVs) and the grid. Energy hub (EH) is another …
electricity between electric vehicles (EVs) and the grid. Energy hub (EH) is another …
[HTML][HTML] A two-stage optimization method for Vehicle to Grid coordination considering building and Electric Vehicle user expectations
The formulation of the Vehicle to Grid (V2G) scheme should ideally consider both Electric
Vehicle (EV) and building owners' viewpoints. From the building owner's viewpoint, the EVs …
Vehicle (EV) and building owners' viewpoints. From the building owner's viewpoint, the EVs …