Iversen et al 2017a - Revision history

Scipediacontent at 14:27, 21 January 2021

2021-01-21T14:27:13Z

Scipediacontent: Scipediacontent moved page Draft Content 651563930 to Iversen et al 2017a

2020-10-14T13:10:10Z

Scipediacontent moved page Draft Content 651563930 to Iversen et al 2017a

Scipediacontent: Created page with " == Abstract == It has been predicted that electric vehicles will play a crucial role in incorporating a large renewable component in the energy sector. If electric vehicles..."

2020-10-14T13:10:07Z

Created page with " == Abstract == It has been predicted that electric vehicles will play a crucial role in incorporating a large renewable component in the energy sector. If electric vehicles..."

New page

== Abstract ==

It has been predicted that electric vehicles will play a crucial role in incorporating a large renewable component in the energy sector. If electric vehicles are integrated in a naive way, they may exacerbate issues related to peak demand and transmission capacity limits while not reducing polluting emissions. Optimizing the charging of electric vehicles is paramount for their successful integration. This paper presents a model to describe the driving patterns of electric vehicles in order to provide primary input information to any mathematical programming model for optimal charging. Specifically, an inhomogeneous Markov model that captures the diurnal variation in the use of a vehicle is presented. The model is defined by the time-varying probabilities of starting and ending a trip, and is justified due to the uncertainty associated with the use of the vehicle. The model is fitted to data collected from the actual utilization of a vehicle. Inhomogeneous Markov models imply a large number of parameters. The number of parameters in the proposed model is reduced using B-splines.

Document type: Book

== Full document ==
<pdf>Media:Draft_Content_651563930-beopen727-1394-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://backend.orbit.dtu.dk/ws/files/190320015/TSG_2520661.pdf https://backend.orbit.dtu.dk/ws/files/190320015/TSG_2520661.pdf]

* [http://henrikmadsen.org/wp-content/uploads/2014/10/Report_-_2013_-_Inhomogeneous_Markov_Models_for_Describing_Driving_Patterns.pdf http://henrikmadsen.org/wp-content/uploads/2014/10/Report_-_2013_-_Inhomogeneous_Markov_Models_for_Describing_Driving_Patterns.pdf],[https://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(1475954a-4b01-4676-9ae8-d6d0728aa440).html https://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(1475954a-4b01-4676-9ae8-d6d0728aa440).html],[https://orbit.dtu.dk/files/190320015/TSG_2520661.pdf https://orbit.dtu.dk/files/190320015/TSG_2520661.pdf],[https://academic.microsoft.com/#/detail/2343751051 https://academic.microsoft.com/#/detail/2343751051]

* [http://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(e12a79e3-c066-4986-9ccd-abea431b6687).html http://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(e12a79e3-c066-4986-9ccd-abea431b6687).html],[http://orbit.dtu.dk/ws/files/51822610/4.pdf http://orbit.dtu.dk/ws/files/51822610/4.pdf]

@@ Line 3: / Line 3: @@
 It has been predicted that electric vehicles will play a crucial role in incorporating a large renewable component in the energy sector. If electric vehicles are integrated in a naive way, they may exacerbate issues related to peak demand and transmission capacity limits while not reducing polluting emissions. Optimizing the charging of electric vehicles is paramount for their successful integration. This paper presents a model to describe the driving patterns of electric vehicles in order to provide primary input information to any mathematical programming model for optimal charging. Specifically, an inhomogeneous Markov model that captures the diurnal variation in the use of a vehicle is presented. The model is defined by the time-varying probabilities of starting and ending a trip, and is justified due to the uncertainty associated with the use of the vehicle. The model is fitted to data collected from the actual utilization of a vehicle. Inhomogeneous Markov models imply a large number of parameters. The number of parameters in the proposed model is reduced using B-splines.
@@ Line 16: / Line 11: @@
 * [https://backend.orbit.dtu.dk/ws/files/190320015/TSG_2520661.pdf https://backend.orbit.dtu.dk/ws/files/190320015/TSG_2520661.pdf]
-* [http://henrikmadsen.org/wp-content/uploads/2014/10/Report_-_2013_-_Inhomogeneous_Markov_Models_for_Describing_Driving_Patterns.pdf http://henrikmadsen.org/wp-content/uploads/2014/10/Report_-_2013_-_Inhomogeneous_Markov_Models_for_Describing_Driving_Patterns.pdf],[https://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(1475954a-4b01-4676-9ae8-d6d0728aa440).html https://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(1475954a-4b01-4676-9ae8-d6d0728aa440).html],[https://orbit.dtu.dk/files/190320015/TSG_2520661.pdf https://orbit.dtu.dk/files/190320015/TSG_2520661.pdf],[https://academic.microsoft.com/#/detail/2343751051 https://academic.microsoft.com/#/detail/2343751051]
+* [http://xplorestaging.ieee.org/ielx7/5165411/5446437/7414468.pdf?arnumber=7414468 http://xplorestaging.ieee.org/ielx7/5165411/5446437/7414468.pdf?arnumber=7414468],
-* [http://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(e12a79e3-c066-4986-9ccd-abea431b6687).html http://orbit.dtu.dk/en/publications/inhomogeneous-markov-models-for-describing-driving-patterns(e12a79e3-c066-4986-9ccd-abea431b6687).html],[http://orbit.dtu.dk/ws/files/51822610/4.pdf http://orbit.dtu.dk/ws/files/51822610/4.pdf]
+* [ ]

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