Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings

Andres Alonso Rodriguez; Luis Perdomo; Ameena Al-sumaiti; Francisco Santamaria; Sergio Rivera

doi:10.1002/9781119771739.ch5

Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings

Andres Alonso Rodriguez, Luis Perdomo, Ameena Al-sumaiti, Francisco Santamaria, Sergio Rivera

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

Abstract

Load shifting is one of the main methods of demand response currently influencing electricity consumer demand, mainly to the smart charging Solutions in Electric Vehicles. This process consists of shifting the load from peak to off-peak periods in order to maintain the existing electrical infrastructure. Office buildings have a large influx of vehicles, electrical infrastructure, parking spaces, and many people staying in them for similar and constant periods. In this way, this chapter proposes a charge strategy for charging electric vehicles in office buildings through automatic learning algorithms presenting the benefits of its implementation. In this way, this strategy seeks to optimize the existing electrical infrastructure and vehicle parking space.

Original language	British English
Title of host publication	Smart Charging Solutions for Hybrid and Electric Vehicles
Publisher	wiley
Pages	143-157
Number of pages	15
ISBN (Electronic)	9781119771739
ISBN (Print)	9781119768951
DOIs	https://doi.org/10.1002/9781119771739.ch5
State	Published - 1 Jan 2021

Keywords

Algorithms
Automatic learning
charging
office

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10.1002/9781119771739.ch5

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title = "Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings",

abstract = "Load shifting is one of the main methods of demand response currently influencing electricity consumer demand, mainly to the smart charging Solutions in Electric Vehicles. This process consists of shifting the load from peak to off-peak periods in order to maintain the existing electrical infrastructure. Office buildings have a large influx of vehicles, electrical infrastructure, parking spaces, and many people staying in them for similar and constant periods. In this way, this chapter proposes a charge strategy for charging electric vehicles in office buildings through automatic learning algorithms presenting the benefits of its implementation. In this way, this strategy seeks to optimize the existing electrical infrastructure and vehicle parking space.",

keywords = "Algorithms, Automatic learning, charging, office",

author = "Rodriguez, {Andres Alonso} and Luis Perdomo and Ameena Al-sumaiti and Francisco Santamaria and Sergio Rivera",

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T2 - Application in Office Buildings

AU - Rodriguez, Andres Alonso

AU - Perdomo, Luis

AU - Al-sumaiti, Ameena

AU - Santamaria, Francisco

AU - Rivera, Sergio

PY - 2021/1/1

Y1 - 2021/1/1

N2 - Load shifting is one of the main methods of demand response currently influencing electricity consumer demand, mainly to the smart charging Solutions in Electric Vehicles. This process consists of shifting the load from peak to off-peak periods in order to maintain the existing electrical infrastructure. Office buildings have a large influx of vehicles, electrical infrastructure, parking spaces, and many people staying in them for similar and constant periods. In this way, this chapter proposes a charge strategy for charging electric vehicles in office buildings through automatic learning algorithms presenting the benefits of its implementation. In this way, this strategy seeks to optimize the existing electrical infrastructure and vehicle parking space.

AB - Load shifting is one of the main methods of demand response currently influencing electricity consumer demand, mainly to the smart charging Solutions in Electric Vehicles. This process consists of shifting the load from peak to off-peak periods in order to maintain the existing electrical infrastructure. Office buildings have a large influx of vehicles, electrical infrastructure, parking spaces, and many people staying in them for similar and constant periods. In this way, this chapter proposes a charge strategy for charging electric vehicles in office buildings through automatic learning algorithms presenting the benefits of its implementation. In this way, this strategy seeks to optimize the existing electrical infrastructure and vehicle parking space.

KW - Algorithms

KW - Automatic learning

KW - charging

KW - office

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EP - 157

BT - Smart Charging Solutions for Hybrid and Electric Vehicles

PB - wiley

ER -

Management of Electric Vehicles Using Automatic Learning Algorithms: Application in Office Buildings

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Keywords

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