[HTML][HTML] A review on barrier and challenges of electric vehicle in India and vehicle to grid optimisation
Electric vehicles are an important option for reducing emissions of greenhouse gases.
Electric vehicles not only reduce the dependency on fossil fuel but also diminish the impact …
Electric vehicles not only reduce the dependency on fossil fuel but also diminish the impact …
A review of consumer preferences of and interactions with electric vehicle charging infrastructure
This paper presents a literature review of studies that investigate infrastructure needs to
support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature …
support the market introduction of plug-in electric vehicles (PEVs). It focuses on literature …
Electric vehicle behavior modeling and applications in vehicle-grid integration: An overview
The increasing electric vehicle (EV) adoption in the context of transportation electrification
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
and carbon neutrality pursuit brings both new challenges and opportunities for all the …
Multinodes interval electric vehicle day-ahead charging load forecasting based on joint adversarial generation
N Huang, Q He, J Qi, Q Hu, R Wang, G Cai… - International Journal of …, 2022 - Elsevier
The spatial–temporal distribution of electric vehicle (EV) charging load has strong
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
randomness and is affected by battery capacity and user behavior. In addition, the multinode …
Machine learning approaches for EV charging behavior: A review
As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …
smart transportation is one of smart cities applications and it is gaining ground nowadays …
A review of data sources for electric vehicle integration studies
The sales of electric vehicles (EVs) are rapidly increasing and their integration in the power
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …
system is becoming a crucial issue. However, there is a scarcity of necessary data to derive …
Review on scheduling, clustering, and forecasting strategies for controlling electric vehicle charging: Challenges and recommendations
The usage and adoption of electric vehicles (EVs) have increased rapidly in the 21st century
due to the shifting of the global energy demand away from fossil fuels. The market …
due to the shifting of the global energy demand away from fossil fuels. The market …
The role of artificial intelligence in the mass adoption of electric vehicles
The electrification of mass transportation is hailed as a solution for reducing global
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
greenhouse-gas emissions and dependence on unsustainable energy sources. The annual …
Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia
Accurate and reliable forecasting models for electricity demand (G) are critical in
engineering applications. They assist renewable and conventional energy engineers …
engineering applications. They assist renewable and conventional energy engineers …
Electric vehicle charging demand forecasting model based on big data technologies
This paper presents a forecasting model to estimate electric vehicle charging demand based
on big data technologies. Most previous studies have not considered real-world traffic …
on big data technologies. Most previous studies have not considered real-world traffic …