Methodology for modelling plug-in electric vehicles in the power system and cost estimates for a sys
By J. Kiviluoma, P. Meibom. 2011
192 citations recorded by the source corpus.
Subfields: Automotive Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/50b8a9fc4901c5adec2696b042220fbd9b7c5f09
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Mehdi Noori
- Omer Tatari
- Dorota Kurowicka
- Stephanie Gardner
- L. D. Sluis
- A. Lojowska
- George Papaefthymiou
- Keith R. W. Bell
In Electrical and Electronic Engineering
- Tom Brown
- David P. Schlachtberger
- S. Schramm
- Martin Greiner
- L. D. Sluis
- A. Lojowska
- Mehdi Noori
- George Papaefthymiou
Citations in the corpus
- Electric vehicle cost, emissions, and water footprint in the United States: Development of a regional optimization model (2015, background): “[18] They estimate PHEV cost in the future power system, as well as benefits from smart EVs.”
- Stochastic Modeling of Power Demand Due to EVs Using Copula (2012, methodology): “The work in [5] presents a methodology for modeling EVs that uses a full-year input time series of driving patterns obtained from an analogous travel survey for Finland.”
- A Comprehensive Study of Implemented International Standards, Technical Challenges, Impacts and Prospects for Electric Vehicles (2018, background): “In [89], Kiviluoma and Meibom figured out that, savings up to 227$ per year per vehicle can be achieved with smart charging strategy as compared to simple charging method.”
- Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system (2018, methodology): “The BEVs are modelled in aggregate for each country, following the approach in [21, 82].”