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 …
Two stage forecast engine with feature selection technique and improved meta-heuristic algorithm for electricity load forecasting
N Ghadimi, A Akbarimajd, H Shayeghi, O Abedinia - Energy, 2018 - Elsevier
Short-term load forecasting is of major interest for the restructured environment of the
electricity market. Accurate load forecasting is essential for effective power system operation …
electricity market. Accurate load forecasting is essential for effective power system operation …
[HTML][HTML] The impact of plug-in behavior on the spatial–temporal flexibility of electric vehicle charging load
While electric vehicles (EVs) are expected to support decarbonizing transport, EVs can
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
challenge the electricity system. Investigating the EV charging load and its flexibility, eg, by …
A systematic methodology for mid-and-long term electric vehicle charging load forecasting: The case study of Shenzhen, China
More and more adoptions of electric vehicles (EVs) would bring a potential threat on the
existing electric grid. In this context, a systematic methodology is presented in this paper to …
existing electric grid. In this context, a systematic methodology is presented in this paper to …
Vulnerability and resistance in the United Kingdom's smart meter transition
Abstract The Smart Meter Implementation Program (SMIP) lays the legal framework in the
United Kingdom so that a smart gas and electricity meter, along with an in-home display, can …
United Kingdom so that a smart gas and electricity meter, along with an in-home display, can …
Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market
GZ de Rubens - Energy, 2019 - Elsevier
Electric vehicles (EVs) continue to penetrate passenger vehicle markets worldwide. Most
current EV markets remain in nascent stages, with buyers being categorised as early …
current EV markets remain in nascent stages, with buyers being categorised as early …
Optimal scheduling of an EV aggregator for demand response considering triple level benefits of three-parties
The electric vehicle (EV), when aggregated by an agent (Aggregator), is a suitable
candidate for participating in demand response in power system operation. As the interface …
candidate for participating in demand response in power system operation. As the interface …
Energy demand load forecasting for electric vehicle charging stations network based on convlstm and biconvlstm architectures
The electrification of transport has proved to be a breakthrough to uplift the sustainable and
eco-friendly platform in the global sector in which electric vehicles (EVs) are considered …
eco-friendly platform in the global sector in which electric vehicles (EVs) are considered …
The impact of electric vehicles and CCS in the context of emission trading scheme in China: A CGE-based analysis
Global warming and harsh environment make China have to accelerate the pace of low-
carbon economy. Promoting Electric Vehicles (EVs) and Carbon Capture and Storage …
carbon economy. Promoting Electric Vehicles (EVs) and Carbon Capture and Storage …
Mid-and long-term strategy based on electric vehicle charging unpredictability and ownership estimation
Predicting the charging load of electric vehicles (EVs) is critical for the safe and reliable
operation of the distribution network. Analyzing an EV's random charging characteristics and …
operation of the distribution network. Analyzing an EV's random charging characteristics and …