Integration of renewable energy and electric vehicles in power systems: a review
Electric vehicles (EVs) represent a promising green technology for mitigating environmental
impacts. However, their widespread adoption has significant implications for management …
impacts. However, their widespread adoption has significant implications for management …
Impact of transportation electrification on the electricity grid—A review
Transportation electrification is a pivotal factor in accelerating the transition to sustainable
energy. Electric vehicles (EVs) can operate either as loads or distributed power resources in …
energy. Electric vehicles (EVs) can operate either as loads or distributed power resources in …
Solar radiation forecasting using artificial neural networks considering feature selection
Due to various factors, including worries about greenhouse gas emissions, supporting
government policies, and decreased equipment costs, the expansion of solar-based energy …
government policies, and decreased equipment costs, the expansion of solar-based energy …
Optimization of Residential Demand Response Program Cost with Consideration for Occupants Thermal Comfort and Privacy
Residential consumers can optimize their participation in demand response programs
(DRPs) using home energy management systems (HEMS). By automatically adjusting air …
(DRPs) using home energy management systems (HEMS). By automatically adjusting air …
[HTML][HTML] Smart electric vehicle charging for reducing photovoltaic energy curtailment
The increased diffusion of Photovoltaic (PV) generation could be limited by the grid capacity
to host the power input from PV systems, especially in mid-day hours on sunny days. This …
to host the power input from PV systems, especially in mid-day hours on sunny days. This …
[HTML][HTML] A reliable and cost-effective planning framework of rural area hybrid system considering intelligent weather forecasting
The use of hybrid systems for electrification of remote areas has been increased
dramatically in recent years, and the optimal sizing of these systems is a significant …
dramatically in recent years, and the optimal sizing of these systems is a significant …
Graph reinforcement learning for power grids: A comprehensive survey
The rise of renewable energy and distributed generation requires new approaches to
overcome the limitations of traditional methods. In this context, Graph Neural Networks are …
overcome the limitations of traditional methods. In this context, Graph Neural Networks are …
Multi-Objective Optimization of EV Charging and Discharging for Different Stakeholders
As a dynamic energy storage system, electric vehicles (EV) play important roles in future
power grids. In this paper, a model for EV aggregator participation in the electricity market …
power grids. In this paper, a model for EV aggregator participation in the electricity market …
Coordinated scheduling of electric vehicles within zero carbon emission hybrid ac/dc microgrids
Microgrids with AC/DC architecture benefit from advantages of both AC and DC power. In
this paper, daily operation problem for a zero-carbon AC/DC microgrid in presence of …
this paper, daily operation problem for a zero-carbon AC/DC microgrid in presence of …
A simulation environment of solar-wind powered electric vehicle car park for reinforcement learning and optimization
In accordance with the United Kingdom's goal to reach net zero by 2050, electric vehicles
(EVs) play a crucial role in transportation. However, if the electricity used to charge EVs is …
(EVs) play a crucial role in transportation. However, if the electricity used to charge EVs is …